Conference Spotlight: Cosyne 2019

8.00p Learning in a Multi-Layer Network of an Electric Fish. Salomon Muller, L.F. Abbott, Nate Sawtell

8.15p Optimal cortical plasticity in a model of perceptual learning. Haozhe Shan, Haim Sompolinsky

9.00a Ilana Witten, Functional organization of the dopamine system (invited)

9.45a What does a dopamine ramp mean? HyungGoo R. Kim, Naoshige Uchida

10.00a Dopaminergic and frontal basis of decisions guided by sensory evidence and reward value. Armin Lak, Michael Okun, Morgane Moss, Harsha Gurnani, Karolina Farrell, Miles J Wells, Charu Bai Reddy, Kenneth D Harris, Matteo Carandini

3.00p Karel Svoboda, The multi-regional neural circuits underlying elementary cognitive behaviors (invited)

4.00p Low threshold layer-specific neural ensembles contributing to the ignition of perception. James H. Marshel*, Timothy A. Machado*, Sean Quirin*, Yoon Seok Kim*, Brandon Benson, Jonathan Kadmon, Cephra Raja, Adelaida Chibukhchyan, Charu Ramakrishnan, Masatoshi Inoue, Hideaki Kato, Surya Ganguli, Karl Deisseroth

4.15p A premotor circuit responsible for flexible decision making. Zheng Herbert Wu, Ashok Litwin-Kumar, Philip Shamash, Alexei Taylor, Richard Axel, Michael N. Shadlen

5.45p Kenneth Harris, TBD (invited)

10.30a Representation of 3D space in the entorhinal cortex of flying bats. Gily Ginosar, Johnatan Aljadeff, Yoram Burak, Haim Sompolinsky, Liora Las, Nachum Ulanovsky

12.45p Predicting natural behavior from brain-wide neural activity. Monika Scholz, Ashley Linder, Francesco Randi, Anuj Sharma, Xinwei Yu, Joshua Shaevitz, Andrew Leifer

6.00p A value-based explanation for lapses in perceptual decisions. Sashank Pisupati, Lital Chartarifsky-Lynn, Anup Khanal, Anne K. Churchland

9.00a Sonja Hofer, TBD (invited)

2.15p Flexible mapping of visual scenes to a heading representation via inhibitory Hebbian plasticity. Sung Soo Kim, Ann Hermundstad, Larry Abbott, Vivek Jayaraman

3.00p Maneesh Sahani, TBD (invited)

3.45p Learning a latent manifold of odor representations in piriform cortex. Anqi Wu, Stan L. Pashkovski, Sandeep Robert Datta, Jonathan W. Pillow

4.00p Inferring brain-wide neuronal dynamics on single trials via neural stitching of many Neuropixels recordings. Daniel J. O’Shea, William E. Allen, Liqun Luo, Karl Deisseroth, David Sussillo

“Why spikes? – Understanding the power and constraints of spiking based computation in biological and artificial neuronal networks”

9.10-9.40a Peter Latham Spikes. good for communication in biological tissue over long distances, but not helpful for understanding how the brain works

Inhibitory microcircuits: from connectivity to computation and behaviour

9.10-9.40a Ken Miller When do networks balance E and I?

5.00–5.30p Xiao-Jing Wang A macroscopic gradient of synaptic inhibition across the cortex

Data, dynamics and computation: using data-driven methods to ground mechanistic theory

Organizers: Jorge Aurelio Menendez, Lea Duncker

10.00-10.25a João Semedo Low-dimensional interactions between cortical areas

10.45-11.10a Scott Linderman Using computational theory to constrain state space models of neural data

11.10-11.35a Matt Golub Constraining RNNs to find dynamical solutions that look like the brain

4.55-5.20p Kanaka Rajan Multi region network models of adaptive and maladaptive learning

Challenges for deep neural network models of visual cognition: From incorporating biological constraints to predicting correlational and causal experimental outcomes

11.10 – 11.35a Eero Simoncelli, New York University Elucidating and testing hierarchical visual models using model-optimized synthetic stimuli

4.30 – 4.55p Winrich Freiwald, Rockefeller University Face Recognition: Neural & Computational Architectures

Continual learning in biological and artificial neural networks

11.10-11.35a David Kastner Higher order feature learning following expansion of possibilities during a spatial learning task in rats

Dopamine updated
Organizers: Joe Paton, Mark Walton

16.30 – 16.45 Vanessa Ruta, Rockefeller Coordinated and compartmentalized neuromodulation by dopamine shapes sensory processing in Drosophila

17.00 – 17.15 Vikram Gadagkar, Cornell Modulation of dopaminergic prediction errors by social context in song birds

18.05 – 18.20 Mitsuko Watabe-Uchida, Harvard Separate dopamine systems reinforce choice along value and threat axes

Neural representations and coding under resource limitations

9-9.25a Eero Simoncelli Coding efficiency and prior embedding in neural populations

Studying visual processing in rodents: where a decade of research has taken us and what is waiting ahead

10.30-10.50a Michael Stryker Visual processing and locomotion

Quantifying social behaviors: Computational challenges and experimental pitfalls

10.45-11.10a Scott Linderman Hierarchical recurrent models of neural activity and natural behavior

4.55-5-5.20p Adam Calhoun Identifying the internal states that shape sensorimotor integration during natural behavior

6.10-6.35p Ilana Witten Distinct reference frames for social space in two descending projections from PFC

6.35-7.00p Bob Datta Motion Sequencing for solitary and social behaviors

What are your coordinates? Domain-general neural computations underlying coordinate transformations.

4.30-4.50p Beth Buffalo (Washington) Maps vs sequences in the primate hippocampus

Advances and convergences in 5-HT research

5.45p Peter Dayan The long and the short of 5-HT stimulation: optogenetic activation of dorsal raphe serotonergic neurons changes the learning rate for rewards Max Planck Institute for Biological Cybernetics

6.10p Zach Mainen Serotonin from priors to behavior, Champalimaud

Quantifying social behaviors: Computational challenges and experimental pitfalls

5.45-6.10 Ann Kennedy Hypothalamic representations of internal state and behavior

Inhibitory microcircuits: from connectivity to computation and behaviour

6.50–7.20 Michael Long Inhibition and motor sequences