Publications

2021

Neural population geometry: An approach for understanding biological and artificial neural networks

Chung, S., Abbott, L.F.

Meta-learning local synaptic plasticity for continual familiarity detection

Tyulmankov, D., Yang, G.R., Abbott, L.F.

On the Geometry of Generalization and Memorization in Deep Neural Networks

Stephenson, C., Padhy, S., Ganesh, A., Hui, Y., Tang, H., Chung, S.

BARcode DEmixing through Non-negative Spatial Regression (BarDensr)

Chen, S., Loper, J., Chen, X., Vaughan, A., Zador, A.M., Paninski, L.

Sparse balance: excitatory-inhibitory networks with small bias currents and broadly distributed synaptic weights

Khajeh, R., Fumarola, F., Abbott, L.F.

Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders

Whiteway, M.R., Biderman, D., Friedman, Y., Dipoppa, M., Buchanan, E.K., Wu, A., Zhou, J., Noel, J.P., The International Brain Laboratory, Cunningham, J., Paninski, L.

Structure and variability of optogenetic responses identify the operating regime of cortex

Palmigiano, A., Fumarola, F., Mossing, D.P., Kraynyukova, N., Adesnik, H., Miller, K.D.

The non-linear mixed representations in somatosensory cortex support simple and complex tasks

Nogueira, R., Rodgers, C.C., Bruno, R.M., Fusi, S.

Estimating the Unique Information of Continuous Variables

Pakman, A., Gilboa, D., Schneidman, E.

NeuroPAL: A Multicolor Atlas for Whole-Brain Neuronal Identification in C. elegans

Yemini, E., Lin, A., Nejatbakhsh, A., Varol, E., Sun, R., Mena, G.E., Samuel, A.D.T., Paninski, L., Venkatachalam, V., Hobert, O.

Scaling of sensory information in large neural populations shows signatures of information-limiting correlations

Kafashan, M.M., Jaffe, A.W., Chettih, S.N., Nogueira, R., Arandia-Romero, I., Harvey, C.D., Moreno-Bote, R., Drugowitsch, J.

Neuron Matching in C. elegans With Robust Approximate Linear Regression Without Correspondence

Nejatbakhsh, A., Varol, E.

2020

Optimal Learning with Excitatory and Inhibitory synapses

Ingrosso, A.

A neuronal circuit for vector computation builds an allocentric traveling-direction signal in the Drosophila fan-shaped body

Lyu, C., Abbott, L.F., Maimon, G.

Inferring brain-wide interactions using data-constrained recurrent neural network models

Perich, M.G., Arlt, C., Soares, S., Young, M.E., Mosher, C.P., Minxha, J., Carter, E., Rutishauser, U., Rudebeck, P.H., Harvey, C.D., Rajan, K.

The connectome of the adult Drosophila mushroom body provides insights into function

Li, F., Lindsey, J.W., Marin, E.C., Otto, N., Dreher, M., Dempsey, G., Stark, I., Bates, A.S., Pleijzier, M.W., Schlegel, P., Nern, A., Takemura, S., Eckstein, N., Yang, T., Francis, A., Braun, A., Parekh, R., Costa, M.

Scheffer, L.K., Aso, Y., Jefferis, G.S.X.E., Abbott, L.F., Litwin-Kumar, A., Waddell, S., Rubin, G.M.

A Disinhibitory Circuit for Contextual Modulation in Primary Visual Cortex

Keller, A.J., Dipoppa, M., Roth, M.M., Caudill, M.S., Ingrosso, A., Miller, K.D., Scanziani, M.

Brain-wide interactions between neural circuits

Abbott, L.F., Svoboda, K.

Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations

Glaser, J., Whiteway, M., Cunningham, J.P., Paninski, L., Linderman, S.

Efficient estimation of neural tuning during naturalistic behavior

Balzani, E., Lakshminarasimhan, K., Angelaki, D.E., Savin, C.

Predicting perturbation effects from resting state activity using functional causal flow

Nejatbakhsh, A., Fumarola, F., Esteki, S., Toyoizumi, T., Kiani, R., Mazzucato, L.

Coding of social novelty in the hippocampal CA2 region and its disruption and rescue in a 22q11.2 microdeletion mouse model

Donegan, M.L., Stefanini, F., Meira, T., Gordon, J.A., Fusi, S., Siegelbaum, S.A.

Attentive Clustering Processes

Pakman, A., Wang, Y., Lee, Y., Basu, P., Lee, J., Teh, W.Y., Paninski, L.

Chronic, cortex-wide imaging of specific cell populations during behavior

Couto, J., Musall, S., Sun, X.R., Khanal, A., Gluf, S., Saxena, S., Kinsella, I., Abe, T., Cunningham, J.P., Paninski, L., Churchland, A.K.

Effect of boundaries on grid cell patterns

Monsalve‐Mercado, M.M., Leibold, C.

Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking

Wu, A., Buchanan, E.K., Whiteway, M., Schartner, M., Meijer, G., Noel, J.P., Rodriguez, E., Everett, C., Norovich, A., Schaffer, E., Mishra, N., Salzman, C.D., Angelaki, D., Bendesky, A., The International Brain Laboratory, Cunningham, J., Paninski, L.

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