Ashok Litwin-Kumar

Postdoc, Center for Theoretical Neuroscience, Columbia University
PhD, Computational Neuroscience, CNBC, Carnegie Mellon University
BS, Physics & Philosophy (minor), Caltech
ude [tod] aibmuloc [ta] 5263ka

I am working with Larry Abbott and Richard Axel on models of associative learning in the olfactory system. Before this, I was a grad student with Brent Doiron.


K. Eichler*, F. Li*, A. Litwin-Kumar*, Y. Park, I. Andrade, C. Schneider-Mizell, T. Saumweber, A. Huser, C. Eschbach, B. Gerber, R. D. Fetter, J. W. Truman, C. Priebe, L. F. Abbott, A. Thum, M. Zlatic & A. Cardona. The complete connectome of a learning and memory center in an insect brain. Nature, in press (2017). bib | preprint ]

A. Litwin-Kumar, K. D. Harris, R. Axel, H. Sompolinsky & L. F. Abbott. Optimal degrees of synaptic connectivity. Neuron 93(5), 1153–1164 (2017). bib | journal | pdf ]

R. C. Williamson, B. R. Cowley, A. Litwin-Kumar, B. Doiron, A. Kohn, M. A. Smith & B. M. Yu. Scaling properties of dimensionality reduction for neural populations and network models. PLOS Computational Biology 12(12), e1005141 (2016). bib | journal | pdf ]

A. Litwin-Kumar, R. Rosenbaum & B. Doiron. Inhibitory stabilization and visual coding in cortical circuits with multiple interneuron subtypes. Journal of Neurophysiology 115(3), 1399–1409 (2016). bib | journal | pdf ]

B. Doiron, A. Litwin-Kumar, R. Rosenbaum, G. Ocker & K. Josić. The mechanics of state dependent neural correlations [invited review]. Nature Neuroscience 19(3), 383–393 (2016). bib | journal | pdf ]

G. Ocker, A. Litwin-Kumar & B. Doiron. Self-organization of microcircuit structure in networks of spiking neurons with plastic synapses. PLOS Computational Biology 11(8), e1004458 (2015). bib | journal | pdf ]

A. Litwin-Kumar & B. Doiron. Formation and maintenance of neuronal assemblies through synaptic plasticity. Nature Communications 5(5319) (2014). bib | journal | pdf ]

B. Doiron & A. Litwin-Kumar. Balanced neural architecture and the idling brain. Frontiers in Computational Neuroscience 8(56) (2014). bib | journal | pdf ]

A. Litwin-Kumar. Relationship between neuronal architecture and variability in cortical circuits. Ph.D. thesis, Carnegie Mellon University (2013). bib | link ]

A. Litwin-Kumar & B. Doiron. Slow dynamics and high variability in balanced cortical networks with clustered connections. Nature Neuroscience 15(11), 1498–1505 (2012). bib | journal | pdf ]
News & Views by M. M. Churchland & L. F. Abbott

A. Litwin-Kumar, M. J. Chacron & B. Doiron. The spatial structure of stimuli shapes the timescale of correlations in population spiking activity. PLOS Computational Biology 8(9), e1002667 (2012). bib | journal | pdf ]

A. Polk, A. Litwin-Kumar & B. Doiron. Correlated neural variability in persistent state networks. PNAS 109(16), 6295–6300 (2012). bib | journal | pdf ]

A. Litwin-Kumar, A. M. Oswald, N. N. Urban & B. Doiron. Balanced synaptic input shapes the correlation between neural spike trains. PLOS Computational Biology 7(12), e1002305 (2011). bib | journal | pdf ]

Publication list also available on Google scholar. *equal contribution


2017: Algorithms for computation of dimension and error rate from Litwin-Kumar, Harris, Axel, Sompolinsky & Abbott. [ download ]

2016: Spiking network with multiple inhibitory interneuron subtypes from Litwin-Kumar, Rosenbaum & Doiron. [ download ]

2014: Balanced spiking network with synaptic plasticity from Litwin-Kumar & Doiron. [ download ]

2012: Balanced spiking network with clustered connections from Litwin-Kumar & Doiron. [ download ]

Code is written in Julia and Python.


Math 0290: Applied Differential Equations (University of Pittsburgh, Spring 2014)

This file was generated with bibtex2html 1.98.