2022Connectomic Analysis of the Drosophila Lateral Neuron Clock Cells Reveals the Synaptic Basis of Functional Pacemaker ClassesShafer, O.T., Gutierrez, G.J., Li, K., Mildenhall, A., Spira, D., Marty, J., Lazar, A.A., Fernandez, M.P.Flexible neural control of motor unitsMarshall, N.J., Glaser, J.I., Trautmann, E.M., Amematsro, E.A., Perkins, S.M., Shadlen, M.N., Abbott, L.F., Cunningham, J.P., Churchland, M.M.Emergence of Irregular Activity in Networks of Strongly Coupled Conductance-Based NeuronsSanzeni, A., Histed, M.H., Brunel, N.Influence of sensory modality and control dynamics on human path integrationStavropoulos, A., Lakshminarasimhan, K., Laurens, J., Pitkow, X., Angelaki, D.E.Sparse balance: excitatory-inhibitory networks with small bias currents and broadly distributed synaptic weightsKhajeh, R., Fumarola, F., Abbott, L.F.The Implicit Bias of Gradient Descent on Generalized Gated Linear NetworksLippl, S., Abbott, L.F., Chung, S.Meta-learning synaptic plasticity and memory addressing for continual familiarity detectionTyulmankov, D., Yang, G.R., Abbott, L.F.The geometry of hippocampal CA2 representations enables abstract coding of social familiarity and identityBoyle, L., Posani, L., Irfan, S., Siegelbaum, S.A., Fusi, S.Input correlations impede suppression of chaos and learning in balanced rate networksEngelken, R., Ingrosso, A., Khajeh, R., Goedeke, S., Abbott, L.F.Dynamical Latent State Computation in the Posterior Parietal CortexLakshminarasimhan, K., Avila, E., Pitkow, X., Angelaki, D.E.A human-specific modifier of cortical connectivity and circuit functionSchmidt, E.R.E., Zhao, H.T., Park, J.M., Dipoppa, M., Monsalve-Mercado, M.M., Dahan, J.B., Rodgers, C.C., Lejeune, A., Hillman, E.M.C., Miller, K.D., Bruno, R.M., Polleux, F.Building an allocentric travelling direction signal via vector computationLyu, C., Abbott, L.F., Maimon, G.Learning Sparse Log-Ratios for High-Throughput Sequencing DataGordon-Rodriguez, E., Quinn, T.P., Cunningham, J.P.2021Place cells may simply be memory cells: Memory compression leads to spatial tuning and history dependenceBenna, M.K., Fusi, S.Memory capacity of neural network modelsFusi, S.Olfactory Landmarks and Path Integration Converge to Form a Cognitive Spatial MapFischler, W.M., Clark, D.G., Joshi, N.R., Devi-Chou, V., Kitch, L., Schnitzer, M., Abbott, L.F., Axel, R.Tightly coupled inhibitory and excitatory functional networks in the developing primary visual cortexMulholland, H., Hein, B., Kaschube, M., Smith, G.B.Posterior Predictive Null ChecksMoran, G.E., Cunningham, J.P., Blei, D.M.Three-dimensional spike localization and improved motion correction for Neuropixels recordingsBoussard, J., Varol, E., Lee, H.D., Dethe, N., Paninski, L.Flexible filtering by neural inputs supports motion computation across states and stimuliKohn, J.R., Portes, J.P., Christenson, M.P., Abbott, L.F., Behnia, R.Neural Population Geometry Reveals the Role of Stochasticity in Robust PerceptionDapello, J., Feather, J., Le, H., Marques, T., Cox, D.D., McDermott, J.H., DiCarlo, J.J., Chung, S.Parametric control of flexible timing through low-dimensional neural manifoldsBeiran, M., Meirhaeghe, N., Sohn, H., Jazayeri, M., Ostojic, S.Unsupervised Representation Learning Facilitates Human-like Spatial ReasoningLakshminarasimhan, K., Conwell, C.Credit Assignment Through Broadcasting a Global Error VectorClark, D.G., Abbott, L.F., Chung, S.A transcriptomic axis predicts state modulation of cortical interneuronsBugeon, S., Duffield, J., Dipoppa, M., Ritoux, A., Prankerd, I., Nicoloutsopoulos, D., Orme, D., Shinn, M., Peng, H., Forrest, H., Viduolyte, A., Reddy, C.B., Isogai, Y., Carandini, M., Harris, K.D.Estimating the Unique Information of Continuous VariablesPakman, A., Nejatbakhsh, A., Gilboa, D., Makkeh, A., Mazzucato, L., Wibral, M., Schneidman, E.Biological learning in key-value memory networksTyulmankov, D., Fang, C., Vadaparty, A., Yang, G.R.Abstract representations emerge naturally in neural networks trained to perform multiple tasksJohnston, W.J., Fusi, S.Evolving the Olfactory System with Machine LearningWang, P.Y., Sun, Y., Axel, R., Abbott, L.F., Yang, G.R.Neural population geometry: An approach for understanding biological and artificial neural networksChung, S., Abbott, L.F.Featured Publicationedit publication{{ name }}. . . Abstract Citation No resultsThere are no publications with the provided filters.Sort Publications ByKeyword filter: {{ filter.label }}
Connectomic Analysis of the Drosophila Lateral Neuron Clock Cells Reveals the Synaptic Basis of Functional Pacemaker ClassesShafer, O.T., Gutierrez, G.J., Li, K., Mildenhall, A., Spira, D., Marty, J., Lazar, A.A., Fernandez, M.P.
Flexible neural control of motor unitsMarshall, N.J., Glaser, J.I., Trautmann, E.M., Amematsro, E.A., Perkins, S.M., Shadlen, M.N., Abbott, L.F., Cunningham, J.P., Churchland, M.M.
Emergence of Irregular Activity in Networks of Strongly Coupled Conductance-Based NeuronsSanzeni, A., Histed, M.H., Brunel, N.
Influence of sensory modality and control dynamics on human path integrationStavropoulos, A., Lakshminarasimhan, K., Laurens, J., Pitkow, X., Angelaki, D.E.
Sparse balance: excitatory-inhibitory networks with small bias currents and broadly distributed synaptic weightsKhajeh, R., Fumarola, F., Abbott, L.F.
The Implicit Bias of Gradient Descent on Generalized Gated Linear NetworksLippl, S., Abbott, L.F., Chung, S.
Meta-learning synaptic plasticity and memory addressing for continual familiarity detectionTyulmankov, D., Yang, G.R., Abbott, L.F.
The geometry of hippocampal CA2 representations enables abstract coding of social familiarity and identityBoyle, L., Posani, L., Irfan, S., Siegelbaum, S.A., Fusi, S.
Input correlations impede suppression of chaos and learning in balanced rate networksEngelken, R., Ingrosso, A., Khajeh, R., Goedeke, S., Abbott, L.F.
Dynamical Latent State Computation in the Posterior Parietal CortexLakshminarasimhan, K., Avila, E., Pitkow, X., Angelaki, D.E.
A human-specific modifier of cortical connectivity and circuit functionSchmidt, E.R.E., Zhao, H.T., Park, J.M., Dipoppa, M., Monsalve-Mercado, M.M., Dahan, J.B., Rodgers, C.C., Lejeune, A., Hillman, E.M.C., Miller, K.D., Bruno, R.M., Polleux, F.
Building an allocentric travelling direction signal via vector computationLyu, C., Abbott, L.F., Maimon, G.
Learning Sparse Log-Ratios for High-Throughput Sequencing DataGordon-Rodriguez, E., Quinn, T.P., Cunningham, J.P.
Place cells may simply be memory cells: Memory compression leads to spatial tuning and history dependenceBenna, M.K., Fusi, S.
Olfactory Landmarks and Path Integration Converge to Form a Cognitive Spatial MapFischler, W.M., Clark, D.G., Joshi, N.R., Devi-Chou, V., Kitch, L., Schnitzer, M., Abbott, L.F., Axel, R.
Tightly coupled inhibitory and excitatory functional networks in the developing primary visual cortexMulholland, H., Hein, B., Kaschube, M., Smith, G.B.
Three-dimensional spike localization and improved motion correction for Neuropixels recordingsBoussard, J., Varol, E., Lee, H.D., Dethe, N., Paninski, L.
Flexible filtering by neural inputs supports motion computation across states and stimuliKohn, J.R., Portes, J.P., Christenson, M.P., Abbott, L.F., Behnia, R.
Neural Population Geometry Reveals the Role of Stochasticity in Robust PerceptionDapello, J., Feather, J., Le, H., Marques, T., Cox, D.D., McDermott, J.H., DiCarlo, J.J., Chung, S.
Parametric control of flexible timing through low-dimensional neural manifoldsBeiran, M., Meirhaeghe, N., Sohn, H., Jazayeri, M., Ostojic, S.
Unsupervised Representation Learning Facilitates Human-like Spatial ReasoningLakshminarasimhan, K., Conwell, C.
A transcriptomic axis predicts state modulation of cortical interneuronsBugeon, S., Duffield, J., Dipoppa, M., Ritoux, A., Prankerd, I., Nicoloutsopoulos, D., Orme, D., Shinn, M., Peng, H., Forrest, H., Viduolyte, A., Reddy, C.B., Isogai, Y., Carandini, M., Harris, K.D.
Estimating the Unique Information of Continuous VariablesPakman, A., Nejatbakhsh, A., Gilboa, D., Makkeh, A., Mazzucato, L., Wibral, M., Schneidman, E.
Abstract representations emerge naturally in neural networks trained to perform multiple tasksJohnston, W.J., Fusi, S.
Evolving the Olfactory System with Machine LearningWang, P.Y., Sun, Y., Axel, R., Abbott, L.F., Yang, G.R.
Neural population geometry: An approach for understanding biological and artificial neural networksChung, S., Abbott, L.F.
