Publications

1) G. Ascoli, R.F. Goldin: Coordinate systems for dendritic spines: a somatocentric approach. Complexity 2(4):40-48 (1997).

 

2) J.L. Krichmar, G. Ascoli, L. Hunter, J.L. Olds: A model of cerebellar saccadic motor learning using qualitative reasoning. Lecture Notes Computer Science 1240:134-145 (1997).

 

3) J.L. Krichmar, G. Ascoli,  J.L. Olds, L. Hunter: Qualitative reasoning as a modeling tool for computational neuroscience. In: Computational Neuroscience: Trends in Research 1998, J.M. Bower Ed., 609-614, Plenum NY. (1998).

 

4) J.P. Vandersluis, J.D. Cooke, G. Ascoli, J.L. Krichmar, G. Michaels, M. Montgomery, J. Symanzyk, B. Vitucci: Visualization of high-dimensional biomedical data. Comp. Sci. Stat. 30:482-487 (1998).

 

5) S.L. Senft, G. Ascoli: Reconstruction of brain networks by algorithmic amplification of morphometry data. Lect. Notes Comp. Sci. 1606:25-33 (1999).

 

6) J. Symanzik, G. Ascoli, S. Washington, J. Krichmar: Visual data mining of brain cells. Comp. Sci. Stat. 31:445-449 (1999).

 

7) G. Ascoli: Progress and Perspectives in computational neuroanatomy. Anatom. Rec. 257(6):195-207 (1999).

 

8) G. Ascoli, J.L. Krichmar: L-Neuron: a modeling tool for the efficient generation and parsimonious description of dendritic morphology. Neurocomputing 32-33:1003-1011 (2000).

 

9) S. Washington, G. Ascoli, J. Krichmar: Statistical analysis of CA3 pyramidal cell morphology effect on electrophysiology. Neurocomputing 32-33:261-269 (2000).

 

10) S. Nasuto, J. Krichmar, R. Scorcioni, G. Ascoli: Algorithmic analysis of electrophysiological data for the investigation of structure-activity relationship in single neurons. InterJournal Complex Syst. 389:1-7 (2000).

 

11) R. Scorcioni, G. Ascoli: Algorithmic extraction of morphological statistics from electronic archives of neuroanatomy. Lect. Notes Comp. Sci. 2084:30-37 (2001).

 

12) S. Nasuto, J. Krichmar, G. Ascoli: A computational study of the relationship between neuronal morphology and electrophysiology in an Alzheimer's Disease model. Neurocomputing 38-40:1477-1487 (2001).

 

13) G. Ascoli G., J. Krichmar, S. Nasuto, S. Senft: Generation, description and storage of dendritic morphology data. Phil. Trans. R. Soc. B, 356(1412):1131-45 (2001).

 

14) G. Ascoli, J. Krichmar, R. Scorcioni, S. Nasuto, S. Senft: Computer generation and quantitative morphometric analysis of virtual neurons. Anat. Embryol. 204:283-301 (2001).

 

15) G. Ascoli,  A. Samsonovich: Bayesian morphometry of hippocampal cells suggests same-cell somatodendritic repulsion. Adv. Neural Inf. Proc. Syst. 14:133-139 (2002).

 

16) G. Ascoli (Ed.): Computational Neuroanatomy: Principles and Methods (Humana Press, Totowa, NJ, 2002).
        Chap. 1 (pp 3-26): Computing the brain and the computing brain (G. Ascoli)
        Chap. 3 (pp 49-70): Generation and description of neuronal morphology using L-Neuron: a case study. (D. Donohue, R. Scorcioni, G. Ascoli)
        Chap. 6 (pp 105-125): The relationship between neuronal shape and neuronal activity. (J. Krichmar, S. Nasuto)
        Chap 7 (pp 127-148): Practical aspects in anatomically accurate simulations of neuronal electrophysiology. (M. Lazarewicz, S. Boer-Iwema, G. Ascoli)
        Chap 12 (pp 245-270): Axonal navigation through voxel substrates: a strategy for reconstructing brain circuitry. (S. Senft)
        Chap 19 (pp 425-436): Towards virtual brains. (A. Samsonovich, G. Ascoli)

 

17) R. Scorcioni, J.-M. Boutiller, G. Ascoli: A real scale model of the dentate gyrus based on single-cell reconstructions and 3D rendering of a brain atlas. Neurocomputing, 44-46:629-634 (2002).

 

18) G. Ascoli: Neuroanatomical algorithms for dendritic modeling. Network: Comput. Neural Syst. 13:247-260 (2002).

 

19) J. Krichmar, S. Nasuto, R. Scorcioni, S. Washington, G. Ascoli: Influence of dendritic morphology on CA3 pyramidal cell electrophysiology. Brain Res., 941:11-28 (2002).

 

20) Turner DA, Cannon RC, Ascoli GA: Web-based neuronal archives: neuronal morphometric and electrotonic analysis. In R. Kotter (Ed.): Neuroscience Databases - A Practical Guide, 81-98, Elsevier, Amsterdam (2002).

 

21) M. Lazarewicz, M. Migliore, G. Ascoli: A new bursting model of CA3 pyramidal cell physiology suggests multiple locations for spike initiation. Biosystems, 67:129-37 (2002).

 

22) Ascoli G.: Electrotonic effects on spike response model dynamics. IEEE Neural Networks, 2831-2836 (2003).

 

23) Samsonovich A., Ascoli G.: Statistical morphological analysis of hippocampal principal neurons indicates selective repulsion of dendrites from their own cell. J. Neurosci. Res. 71:173-87 (2003).

 

24) Ascoli G.: Passive dendritic integration heavily affects spiking dynamics of recurrent networks. Neural Networks, 16:657-663 (2003).

25) Scorcioni R., Lazarewicz M., Ascoli G.: Quantitative morphometry of hippocampal pyramidal cells: differences between anatomical classes and reconstructing laboratories. J. Comp. Neurol., 473:177-193 (2004).

26) Ascoli G., Atkeson J.: Incorporating  anatomically  realistic  cellular-level  connectivity  in  neural  network  models  of  the  rat  hippocampus. Biosystems, 79:173-181 (2005).

27) Li Y., Brewer D., Burke R.E., Ascoli G.: Developmental changes in spinal motoneuron dendrites in neonatal mice. J. Comp. Neurol., 483:304-317 (2005).

 

28) Donohue D., Ascoli G.: Models of neuronal outgrowth. In Koslow S.H. and Subramaniam S. (Eds.): Databasing the Brain: From Data to Knowledge, Wiley, New York, NY. pp 303-323 (2005).

 

29) Samsonovich A., Ascoli G.: Statistical determinants of dendritic morphology in hippocampal pyramidal neurons: a hidden Markov model. Hippocampus, 15:166-183  (2005).

30) Samsonovich A., Ascoli G.: A simple neural network model of the hippocampus suggesting its pathfinding role in episodic memory retrieval. Learning & Memory, 12:193-208  (2005).

31) Scorcioni R., Ascoli G.: Algorithmic reconstruction of complete axonal arborizations in rat hippocampal neurons. Neurocomputing, 65-66:15-22 (2005).

32) Samsonovich A., Ascoli G.: Algorithmic description of hippocampal granule cell dendritic morphology. Neurocomputing, 65-66:253-260 (2005).

33) Donohue D., Ascoli G.: Local diameter fully constrains dendritic size in basal but not apical trees of CA1 pyramidal neurons. J. Comput. Neurosci., 19:223-238 (2005).

 

34) Brown K., Donohue D., DAlessandro G., Ascoli G.: A cross-platform freeware tool for digital reconstruction of neuronal arborizations from image stacks. Neuroinformatics, 3:343-360 (2005).

 

35) Migliore M., Ferrante M., Ascoli G.: Signal propagation in oblique dendrites of CA1 pyramidal cells. J. Neurophys., 94:4145-4155 (2005).

 

36)  Samsonovich A., Ascoli G.: Morphological homeostasis in cortical dendrites. Proc. Natl. Acad. Sci. USA, 103:1569-1574 (2006).

 

37) Ascoli G: Mobilizing the base of neuroscience data: the case of neuronal morphologies. Nature Rev. Neurosci., 7:318-324 (2006).

38) Ascoli G., Scorcioni R.: Neuron and network modeling. In Zaborszky L., Wouterlood, Lanciego J. (Eds.): Tract Tracing Methods, 3rd ed., Springer, New York NY. pp. 604-630 (2006).

 

39) Li X., Ascoli G.: Computational simulation of the input-output relationship in hippocampal pyramidal cells. J. Comput. Neurosci., 21:191-209 (2006).

40) Krichmar J., Velasquez D., Ascoli G.: Effects of beta-catenin on dendritic morphology and simulated firing patterns in cultured hippocampal neurons. Biol. Bull., 211:31-43 (2006).

41) Ascoli G.: Successful grant fishing in funding droughts. Nature Cell Biol. 9:856-7 (2007).

42) Duque A., Tepper J., Detari L., Ascoli G., Zaborszky L.: Morphological characterization of electrophysiologically identified basal forebrain neurons: cholinergic vs. neuropeptide Y-containing neurons. Brain Struct. Funct., 1:55-73 (2007).

43) Ascoli G., Donohue D., Halavi M.: NeuroMorpho.Org - A central resource for neuronal morphologies. J. Neurosci. 27:9247-51 (2007).

 

44) Ascoli G.: Biomedical research funding: When the game gets tough, winners start to play. BioEssay, 29:933-936 (2007).

45) Ascoli G.: Successes and rewards in sharing digital reconstructions of neuronal morphology. Neuroinformatics. 5:154-160 (2007).

 

46) Samsonovich A., Ascoli G.: Computational models of dendritic morphology: from parsimonious description to biological insight. In Costa L.da F. and Mueller G. (Eds.): Modeling Biology: Structures, Behaviors, Evolution, MIT Press, Cambridge, MA. pp. 91-113 (2007).

 

47) Liu Y., Ascoli G.: Value Added by Data Sharing - Long Term Potentiation of Neuroscience Research. Neuroinformatics. 5:143-145 (2007).

48) Berzhanskaya J., Ascoli G.: Computational neuroanatomy. Scholarpedia, 3(3):1313.

49) Hemond P., Epstein D., Migliore M., Ascoli G., Jaffe D.: Distinct classes of pyramidal cells exhibit mutually exclusive firing patterns in hippocampal area CA3b. Hippocampus. 18:411-424 (2008).

 

50) Scorcioni R., Polavaram S., Ascoli G.: L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies. Nature Protocols. 3:866-76 (2008).

51) Donohue D., Ascoli G.: A comparative computer simulation of dendritic morphology. PLoS Comput. Biol. 4(5): e1000089 (2008).

 

52) Ascoli G., Halavi M.: Neuroinformatics. In: Squire LR (ed.) Encyclopedia of Neuroscience, volume 6, pp. 477-484. Oxford: Academic Press (2009).

 

53) Li X., Ascoli G.: Effects of synaptic synchrony on the neuronal input/output relationship. Neural Computation. 20:1717-31 (2008).

 

54) Scorcioni R., Wright S., Card J., Ascoli G., Barrionuevo G.: Point Analysis in Java applied to histological images of the perforant pathway: A user account. Neuroinformatics, 6:63-7 (2008).

 

55) Ropireddy D., Bachus S., Scorcioni R., Ascoli G.: Computational neuroanatomy of the rat hippocampus: implications and application to epilepsy. In Soltesz I., Staley K (Eds.): Computational Neuroscience in Epilepsy, Elsevier, San Diego, CA, pp. 71-85 (2008).

 

56) Ascoli G., Alonso L., Anderson S., Barrionuevo G., Benavides-Piccione R., Burkhalter A., Buzsaki G., Cauli B., DeFelipe J., Fairen A., Feldmeyer D., Fishell G., Fregnac Y., Freund T.F., Karube F., Gardner D., Gardner E., Goldberg J., Helmstaedter M., Hestrin S., Kisvarday Z., Lambolez B., Lewis D., Marin O., Markram H., Munoz A., Packer A., Petersen C., Rockland K., Rossier J., Rudy B., Somogyi P., Staiger J.F., Tamas G., Thomson A., Toledo M., Wang Y., West D., Yuste R.: Petilla Terminology:  Nomenclature of features of GABAergic interneurons of the cerebral cortex. Nature Rev. Neurosci. 9:557-68 (2008).

 

57) Migliore M., Ascoli G., Jaffe D.: CA3 cells - Detailed and simplified pyramidal cell models. In Cutsuridis V., Graham B., Cobb S., Vida I. (Eds): Hippocampal Microcircuits: A Computational Modeller Resource Book, (2008).

 

58) Ferrante M., Blackwell K., Migliore M., Ascoli G.: Computational models of neuronal biophysics and the characterization of potential neuropharmacological targets. Curr. Med. Chem. 15:2456-71 (2008).

59) Scorcioni R., Hamilton D., Ascoli G.: Self-sustaining non-repetitive activity in a large scale neuronal-level model of the hippocampal circuit. Neural Netw., 21:1153-63 (2008).

60) Brown K., Gillette T., Ascoli G.: Quantifying neuronal size: Summing up trees and splitting the branch difference. Sem. Cell Dev. Biol., 19:485-93 (2008).

61) Gardner D., Akil H., Ascoli G., Bowden D., Bug W., Donohue D, Goldberg D., Grafstein B., Grethe J., Gupta A., Halavi M., Kennedy D., Marenco L., Martone M., Miller P., Muller H.-M., Robert A., Shepherd G., Sternberg P., Van Essen D., Williams R.: The Neuroscience Information Framework: a data and knowledge environment for neuroscience. Neuroinformatics, 6:149-60 (2008).

62) Marenco L., Ascoli G., Martone M., Shepherd G., Miller P.: The pilot NIF LinkOut broker: A web resource to facilitate federated data integration using NCBI identifiers. Neuroinformatics, 6:219-27 (2008).

63) Bug W., Ascoli G., Grethe J., Gupta A., Fennema-Notestine C., Laird A., Larson S., Rubin D., Shepherd G., Turner J., Martone M.: The NIFSTD and BIRNLex vocabularies: Building comprehensive ontologies for neuroscience. Neuroinformatics, 6:175-94 (2008).

64) Halavi M., Polavaram S., Donohue D., Hamilton G., Hoyt J., Smith K., Ascoli G.: NeuroMorpho.Org implementation of digital neuroscience: dense coverage and integration with the NIF. Neuroinformatics, 6:241-52 (2008).

65) Ascoli G., Samsonovich A.: Science of the conscious mind. Biol. Bull., 215:204-15 (2008).

66) Ascoli G., Halavi M.: Neuroinformatics. In: Squire LR (ed.) Encyclopedia of Neuroscience, volume 6, pp. 477-484. Oxford: Academic Press (2009).

67) Komendantov A., Ascoli G.: Dendritic excitability and neuronal morphology as determinants of synaptic efficacy, J Neurophysiol, 101:1847-66 (2009).

68) Hemond P., Migliore M., Ascoli G., Jaffe D.: The membrane response of CA3 pyramidal neurons near rest: heterogeneity of passive properties and the contribution of hyperpolarization-activated currents. Neuroscience. 160:359-70 (2009).

69) Ascoli G., Brown K., Calixto E., Card J., Galvan E., Perez-Rosello T., Barrionuevo G.: Quantitative Morphometry of Electrophysiologically Identified CA3b Interneurons Reveals Robust Local Geometry and Distinct Cell Classes. J Comp Neurol. 515:677-695 (2009).

70) Ferrante M., Migliore M., Ascoli G.: Feed-forward inhibition as a buffer of the neuronal input-output relation. Proc. Natl. Acad. Sci. USA, 106:18004-9 (2009).

71) Ascoli G., Gasparini S., Medinilla V., Migliore M.: Local Control of Postinhibitory Rebound Spiking in CA1 Pyramidal Neuron Dendrites. Neuroscience. 30(18):6434-6442 (2010).

72) Ropireddy D., Scorcioni R., Lasher B., Buzsaki G., Ascoli G.: Axonal morphometry of hippocampal pyramidal neurons semi-automatically reconstructed after in vivo labeling in different CA3 locations. Brain Struct. Funct. 216:1-15 (2011).

73) Costa L., Batista J., Ascoli G.: Communication structure of cortical networks. Front. Comput. Neurosci., 5:6. doi: 10.3389/fncom.2011.00006 (2011).

74) Brown K., Barrionuevo G., Canty A., De Paola V., Hirsch J., Jefferis G., Lu J., Snippe M., Sugihara I., Ascoli G.: The DIADEM Data Sets: Representative Light Microscopy Images of Neuronal Morphology to Advance Automation of Digital Reconstructions. Neuroinform 9:143-157 (2011).

75) Gillette T., Brown K., Ascoli G.: The DIADEM Metric: Comparing Multiple Reconstructions of the Same Neuron. Neuroinform 9:233-245 (2011).

76) Donohue D., Ascoli G.: Automated reconstruction of neuronal morphology: An overview. Brain Research Reviews 67:94-102 (2011).

77) Ropireddy D., Ascoli G.: Potential synaptic connectivity of different neurons onto pyramidal cells in a 3D reconstruction of the rat hippocampus. Front. Neuroinform., 5:5. doi:10.3389/fninf.2011.00005. (2011).

78) Baker J., Perez-Rosello T., Migliore M., Barrionuevo G., Ascoli G.: A computer model of unitary responses from associational/commissural and perforant path synapses in hippocampal CA3 pyramidal cells. J. Comp. Neurol. 31:137-158 (2011).
Erratum to: Journal of Computational Neuroscience, DOI 10.1007/s10827-010-0303-y and DOI 10.1007/s10827-010-0304-x. J. Comput. Neurosci. 31:183-183 (2011).

79) Perez-Rosello T., Baker J., Ferrante M., Iyengar S., Ascoli G., Barrionuevo G.: Passive and active shaping of unitary responses from associational/commissural and perforant path synapses in hippocampal CA3 pyramidal cells. J. Comput. Neurosci. 31:159-182 (2011).

80) Ropireddy D., Bachus S., Ascoli G.: Non-Homogeneous Stereological Properties of the Rat Hippocampus from High-Resolution 3D Serial Reconstruction of Thin Histological Sections. Neuroscience 205:91-111 (2012).

81) Myatt D., Tye H., Ascoli G., Nasuto S.: Neuromantic - from semi manual to semi automatic reconstruction of neuron morphology. Front. Neuroinform., 6:4. doi: 10.3389/fninf.2012.00004. (2012).

82) Halavi M., Hamilton K., Parekh R., Ascoli G.: Digital reconstructions of neuronal morphology: three decades of research trends. Front. Neurosci., 6:49. doi: 10.3389/fnins.2012.00049. (2012).

83) Hamilton D., Shepherd G., Martone M., Ascoli G.: An ontological approach to describing neurons and their relationships. Front. Neuroinform., 6:15. doi: 10.3389/fninf.2012.00015. (2012).

84) Gardner B., Vogel A., Mainetti M., Ascoli G.: Quantitative Measurements of Autobiographical Memory Content. PLoS ONE, 7:9. doi:10.1371/journal.pone.0044809 (2012).

85) Gillette T., Ascoli G.: Measuring and modeling morphology: How dendrites take shape. Computational Systems Neurobiology, N. Le Novere Ed., 387-427, Springer Dordrecht. (2012).

86) Brown K., Sugihara I., Shinoda Y., Ascoli G.: Digital Morphometry of Rat Cerebellar Climbing Fibers Reveals Distinct Branch and Bouton Types. J. Neurosci., 32(42), 14670-14684, (2012).

87) Ferrante M., Migliore M., Ascoli G.:Functional Impact of Dendritic Branch-Point Morphology. J. Neurosci. 33(5), 2156-2165,(2013).

88) Ascoli G., Samsonovich A.: A spiking-network cognitive architecture inspired by the hippocampus. bica, 3, 13-26,(2013).

89) DeFelipe J., Lopez-Cruz P., Benavides-Piccione R., Bielza C., Larranaga P., Anderson S., Burkhalter A., Cauli B., Fairen A., Feldmeyer D., Fishell G., Fitzpatrick D., Freund T., Gonzalez-Burgos G., Hestrin S., Hill S., Hof P., Huang J., Jones E., Kawaguchi Y., Kisvarday Z., Kubota Y., Lewis D., Marin O., Markram H., McBain C., Meyer H., Monyer H., Nelson S., Rockland K., Rossier J., Rubenstein J., Rudy B., Scanziani M., Shepherd G., Sherwood C., Staiger J., Tamas G., Thomson A., Wang Y., Yuste R., Ascoli G.: Petilla Terminology: New insights into the classification and nomenclature of cortical GABAergic interneurons. Nature Rev. Neurosci. 14:202-216 (2013).

90) Parekh R., Ascoli G.: Neuronal Morphology Goes Digital: A Research Hub for Cellular and System Neuroscience. Neuron, 77, 1017-1038,(2013).

91) Ascoli G.: The Mind-Brain Relationship as a Mathematical Problem. ISRN Neuroscience, 2013, 1-13,(2013).

92) Berzhanskaya J., Chernyy N., Gluckman B., Schiff S., Ascoli G.: Modulation of hippocampal rhythms by subthreshold electric fields and network topology. J Comp Neurosci., 34(3), 369-89,(2013).

93) Samsonovich A., Ascoli G.: Augmenting Weak Semantic Cognitive Maps with an "abstractness" Dimension. Computational Intelligence and Neuroscience, 2013,(2013).

94) Wright S., Kochunov P., Mut F., Bergamino M., Brown K., Mazziotta J., Toga A., Cebral J., Ascoli G.: Digital Reconstruction and Morphometric Analysis of Human Brain Arterial Vasculature from Magnetic Resonance Angiography. NeuroImage, 82, 170-181, (2013).

95) Gardner R., Uttaro M., Fleming S., Suarez D., Ascoli G., Dumas T.:A secondary working memory challenge preserves primary place strategies despite overtraining. Learning & Memory, 20(11), 648-656,(2013).

96) Polavaram S., Gillette T., Parekh R., Ascoli G.:Statistical analysis and data mining of digital reconstructions of dendritic morphologies. Frontiers in Neuroanatomy, 8(138), (2014).

97) Ascoli G.: Hippocampus Role in Learning and Memory. In J. Trefil Ed.: Discoveries in Modern Science (Macmillan Reference Exploration, Invention, Technology), pp. 482-487 (2014).

98) Mainetti M., Ascoli G.: A Neural Mechanism for Background Information-Gated Learning Based on Axonal-Dendritic Overlaps. PLoS Comput Biol 11(3): e1004155. doi: 10.1371/journal.pcbi.1004155(2014).

99) Parekh R., Armananzas R., Ascoli G.: The importance of metadata to assess information content in digital reconstructions of neuronal morphology. Cell Tissue Res (2015) 360:121-127 DOI 10.1007/s00441-014-2103-6.

100) Armananzas R., Ascoli G.: Towards Automatic Classification of Neurons. Trends in Neurosci. (2015) 38:307-318 DOI 10.1016/j.tins.2015.02.004.

101) Parekh R., Ascoli G.: Quantitative Investigations of Axonal and Dendritic Arbors: Development, Structure, Function, and Pathology. The Neurosci. (2015) 21(2):241-254 DOI:10.1177/1073858414540216.

102) Gardner S. R., Mainetti M., Ascoli G.: Older adults report moderately more detailed autobiographical memories. Front. Psychol.(2015) DOI: http://dx.doi.org/10.3389/fpsyg.2015.00631.

103) Gardner S. R. and Ascoli G.: The Natural Frequency of Human Prospective Memory Increases With Age. Psychol Aging. 30 (2015), pp. 209-219 DOI: http://dx.doi.org/10.1037/a0038876.

104) Gillette A. T. and Ascoli G.: Topological characterization of neuronal arbor morphology via sequence representation: I - motif analysis. BMC Bioinformatics. 16(216), (2015).

105) Gillette A. T., Hosseini P., Ascoli G.: Topological characterization of neuronal arbor morphology via sequence representation: II - global alignment. BMC Bioinformatics. 16(209), (2015).

106) Peng H., Hawrylycz M., Hill S., Spruston N., Meijering E., Ascoli G.: BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images. Neuron. 87, (2015).

107) Ascoli G.: On Synaptic Circuits, Memory, and Kumquats. N Engl J Med, 373:1170-1172 (2015).

108) Ascoli G.: Sharing Neuron Data: Carrots, Sticks, and Digital Records. PLoS Biol, 13(10): e1002275. doi:10.1371/journal.pbio.1002275 (2015).

109) Wheeler, D. W., White, C. M., Rees, C. L., Komendantov, A. O., Hamilton, D. J., & Ascoli, G. A. (2015). Hippocampome. org: A knowledge base of neuron types in the rodent hippocampus. eLife, e09960.

110) Ferrante, M., & Ascoli, G. (2015). Distinct and synergistic feedforward inhibition of pyramidal cells by basket and bistratified interneurons. Frontiers in Cellular Neuroscience, 9, 439.

111) Ascoli, G. A., & Wheeler, D. W. (2016). In search of a periodic table of the neurons: Axonal-dendritic circuitry as the organizing principle. BioEssays, 38(10).

112) Rees, C. L., Wheeler, D. W., Hamilton, D. J., White, C. M., Komendantov, A. O., & Ascoli, G. A. (2016). Graph theoretic and motif analyses of the hippocampal neuron type potential connectome. eneuro, 3(6), ENEURO-0205.

113) Rees C., Moradi K., Ascoli G.: Weighing the evidence in Peters' rule: Does neuronal morphology predict connectivity? Trends in Neurosciences, 40(2):63-71 (2017).

114) Ascoli G., Maraver P., Nanda S., Polavaram S., Armananzas R.: Win-win data sharing in neuroscience. Nature Methods, 14(2):112-6 (2017).

115) Hamilton D., Wheeler D., White C., Rees C., Komendantov A., Bergamino M., Ascoli G.: Name-calling in the hippocampus (and beyond): coming to terms with neuron types and properties. Brain Informatics, 4(1):1-12 (2017).

116) Polavaram S., Ascoli G.: An ontology-based search engine for digital reconstructions of neuronal morphology. Brain Informatics, 4(2):123-34 (2017).

117) Hamilton D., White C., Rees C., Wheeler D., Ascoli G.: Molecular fingerprinting of principal neurons in the rodent hippocampus: a neuroinformatics approach. Journal of Pharmaceutical and Biomedical Analysis, 144:269-78 (2017).
 

118) Rees C., White C., Ascoli G.: Neurochemical markers in the mammalian brain: structure, roles in synaptic communication, and pharmacological relevance. Current Medicinal Chemistry, 24(28):3077-103 (2017).

 

119) Gleeson P., Davison A., Silver A., Ascoli G.: A commitment to open source in neuroscience. Neuron, 96:964-5 (2017).

 

120) Nanda S., Chen H., Das R., Bhattacharjee S., Cuntz H., Torben-Nielsen B., Peng H., Cox D., De Schutter E., Ascoli G.: Design and implementation of multi-signal and time-varying neural reconstructions. Sci. Data 5:170207 doi:10.1038/sdata.2017.207 (2018).

 

121) Akram M., Nanda S., Maraver P., Armananzas R., Ascoli G.: An open repository for single-cell reconstructions of the brain forest. Sci. Data 5:180006 doi:10.1038/sdata.2018.6 (2018).

122) Venkadesh S., Komendantov A., Listopad S., Scott E., DeJong K., Krichmar J., Ascoli G.: Simple models of diverse intrinsic dynamics in hippocampal neuron types. Front. Neuroinf.,  12:8. doi: 10.3389/fninf.2018.00008 (2018).

123) Nanda S., Das R., Bhattacharjee S., Cox D., Ascoli G.: Morphological determinants of dendritic arborization neurons in Drosophila larva. Brain Structure and Function, 223:1107-20 (2018).

124) Maraver P., Gillette T., Armananzas R., Ascoli G.: Open-source web-based search and metadata organization of peer-reviewed publications. BMC Bioinformatics, 20:50, doi: 10.1186/s12859-019-2613-z (2019).

125) Shepherd G., Marenco L., Hines M., Migliore M., McDougal R., Carnevale N., Newton A., Surles-Zeigler M., Ascoli G.: Neuron names, a gene- and properties-based terminology format, with special reference to cortical neurons. Frontiers in Neuroanatomy, 13:25, doi: 10.3389/fnana.2019.00025 (2019).

126) Attili S., Felipe M., Nguyen T., Ascoli G.: Cell numbers, distribution, shape, and regional variation throughout the murine hippocampal formation from the adult brain Allen Reference Atlas. Brain Structure & Function, 224(8):2883-97 (2019).

127) Venkadesh S., Komendantov A., Wheeler D., Hamilton D., Ascoli G.: Simple models of quantitative firing phenotypes in hippocampal neurons: comprehensive coverage of intrinsic diversity. PLoS Comput. Biol., 15(10):e1007462 DOI 10.1371/journal.pcbi.1007462 (2019).

128) Komendantov A., Venkadesh S., Rees C., Wheeler D., Hamilton D., Ascoli G.: Quantitative firing pattern phenotyping of hippocampal neuron types. Scientific Reports, 9, 17915 doi:10.1038/s41598-019-52611-w (2019).

 

129) Moradi K., Ascoli G.: A comprehensive knowledge base of synaptic electrophysiology in the rodent hippocampal formation. Hippocampus, 30:314-31 (2020).

 

130) White C., Rees C., Wheeler D., Hamilton D., Ascoli G.: Molecular expression profiles of morphologically defined hippocampal neuron types: empirical evidence and relational inferences. Hippocampus, 30:472-87 (2020).

 

131) Bijari K., Akram M., Ascoli G.: An open-source framework for neuroscience metadata management applied to digital reconstructions of neuronal morphology. Brain Informatics, 7(2):1-12 (2020).

 

132) Attili S., Mackesey S., Ascoli G.: Operations Research methods for estimating the population size of neuron types. Annals of Operations Research, 289:33-50 (2020).

 

133) Gardner R., Anderson H., Mainetti M., Ascoli G.: Autobiographical memory content and recollection frequency: public release of quantitative datasets and representative classification analysis. Journal of Cognition, 3(1):14, 1-9 (2020).

 

134) Venkadesh S., Barreto E., Ascoli G.: Itinerant complexity in networks of intrinsically bursting neurons. Chaos, 30, 061106 doi.org/10.1063/5.0010334 (2020).

 

135) Nanda S., Bhattacharjee S., Cox D., Ascoli G.: Distinct roles of microtubules and actin filaments in defining dendritic architecture. iScience 23(12):101865. doi.org/10.1016/j.isci.2020.101865 (2020).

 

136) Tecuatl C., Wheeler D., Sutton N., Ascoli G.: Comprehensive estimates of potential synaptic connections in local circuits of the rodent hippocampal formation by axonal-dendritic overlap. J. Neurosci. 41(8):1665-1683 (2020).

 

137) Sanchez-Aguilera A., Wheeler D., Jurado-Parras T., Valero M., Nokia M., Cid E., Fernandez-Lamo I., Sutton N., Garcia-Rincon D., de la Prida L., Ascoli G.: An update to Hippocampome.org by integrating single-cell phenotypes with circuit function in vivo. PLoS Biol. 6;19(5):e3001213. doi.org/10.1371/journal.pbio.3001213 (2021).

 

138) Tecuatl C., Wheeler D., Ascoli G.: A method to estimate potential synaptic connections by axonal-dendritic overlap from two-dimensional neuronal images. Bio-protocol 11(13):e4073. doi.org/10.21769/BioProtoc.4073 (2021).

 

139) Nanda S., Bhattacharjee S., Cox D., Ascoli G.: An imaging analysis protocol to trace, quantify, and model multi-signal neuron morphology. Star Protocols 2(2):100567. doi.org/10.1016/j.xpro.2021.100567 (2021).

 

140) Sutton N., Ascoli G.: Spiking neural networks and hippocampal function: a web-accessible survey of simulations, modeling methods, and underlying theories. Cognitive Systems Research, 70:80-92 (2021).

  

141) Mehta K., Goldin R., Marchette D., Vogelstein J., Priebe C., Ascoli G.: Neuronal Classification from Network Connectivity via Adjacency Spectral Embedding. Network Neuroscience, 5(3), 689-710 (2021).

 

142) Munoz-Castaneda R., Zingg B., Matho K., Wang Q., Chen X., Foster N., Narasimhan A., Li A., Hirokawa K., Huo B., Bannerjee S., Korobkova L., Park C., Park Y., Bienkowski M., Chon U., Wheeler D., Li X., Wang Y., Kelly K., An X., Attili S., Bowman I., Bludova A., Cetin A., Ding L., Drewes R., D'Orazi F., Elowsky C., Fischer S., Galbavy W., Gao L., Gillis J., Groblewski P., Gou L., Hahn J., Hatfield J., Hintiryan H., Huang J., Kondo H., Kuang X., Lesnar P., Li X., Li Y., Lin M., Liu L., Lo D., Mizrachi J., Mok S., Naeemi M., Nicovich P., Palaniswamy R., Palmer J., Qi X., Shen E., Sun Y., Tao H., Wakemen W., Wang Y., Xie P., Yao S., Yuan J., Zhu M., Ng L., Zhang L., Lim B., Hawrylycz M., Gong H., Gee J., Kim Y., Peng H., Chuang K., Yang X., Luo Q., Mitra P., Zador A., Zeng H., Ascoli G., Huang Z., Osten P., Harris J., Dong H.: Cellular Anatomy of the Mouse Primary Motor Cortex. Nature 598:159-166. (2021).

 

143) Bijari K., Valera G., Lopez-Schier H., Ascoli G.: Quantitative neuronal morphometry by supervised and unsupervised learning. Star Protocols 2(4):100867 (2021).

 

144) de la Prida L, Ascoli G.: Explorers of the cells: towards cross-platform knowledge integration to evaluate neuronal function. Neuron. 109(22):3535-7 (2021).

 

145) Akram M., Ljungquist B., Ascoli G.: Efficient metadata mining of web-accessible neural morphologies. Progress in Biophysics and Molecular Biology 168:94-102 (2022).

 

146) Attili S., Moradi K., Wheeler D., Ascoli G.: Quantification of neuron types in the rodent hippocampal formation by data mining and numerical optimization. European Journal of Neuroscience 55:1724-41 (2022).

 

147) Moradi K., Aldarraji Z., Luthra M., Madison G., Ascoli G.: Normalized unitary synaptic signaling of the hippocampus and entorhinal cortex. Nature Communications Biology 5, 418 (2022).

 

148) Ljungquist B., Akram M., Ascoli G.: Large scale similarity search across digital reconstructions of neural morphology. Neuroscience Research 181:39-45 (2022).

 

149) Bijari K., Zoubi Y., Ascoli G.: Assisted neuroscience knowledge extraction via machine learning applied to neural reconstruction metadata on NeuroMorpho.Org. Brain Informatics 9(26):1-11 (2022).

 

150) Akram M., Wei Q., Ascoli G.: Machine learning classification reveals robust morphometric biomarker of glial and neuronal arbors. Journal of Neuroscience Research. 101(1):112-29 (2023).

 

 

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