Resources

This page contains Github code repositories of published articles and recent talk recordings.

Code repositories and data

  1. Langdon, Engel, Nature Neuroscience, 2025: Latent circuit inference from heterogeneous neural responses during cognitive tasks
  2. Zeraati et al., Physical Review Research, 2024: Topology-dependent coalescence controls scaling exponents in finite networks
  3. Zeraati et al., Nature Communications, 2023: Intrinsic timescales in the visual cortex change with selective attention and reflect spatial connectivity
  4. Roach et al., Nature Communications, 2023: Choice selective inhibition drives stability and competition in decision circuits 
  5. Shi et al., Physical Review Research, 2023: Spatial and temporal correlations in neural networks with structured connectivity
  6. Zeraati et al., Nature Computational Science, 2022: A flexible Bayesian framework for unbiased estimation of timescales
  7. Shi et al., Nature Communications , 2022: Cortical state dynamics and selective attention define the spatial pattern of correlated variability in neocortex
  8. Bhattasali et al., NeurIPS, 2022: Neural Circuit Architectural Priors for Embodied Control
  9. Genkin et al., Nature Communications, 2021: Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories
  10. Genkin, Engel, Nature Machine Intelligence, 2020: Moving beyond generalization to accurate interpretation of flexible models 

Talks and lecture recordings

  1. “Identifying mechanisms of cognitive computations from spikes”, Computational and Systems Neuroscience conference (Cosyne) main meeting, Montreal, Canada, 2023 - Youtube 
  2. “A unifying perspective on neural manifolds and circuits for cognition”, Generative Adversarial Collaboration on “Reconciling the dichotomy between Sherringtonian and Hopfieldian views on neural computations, Conference on Cognitive Computational Neuroscience (CCN), Oxford, UK, 2023 - Youtube
  3. “Spatiotemporal brain state dynamics and their impact on behavior”, 30th Annual Computational Neuroscience meeting (CNS), 2021 - Youtube
  4. “Flexible identification of population dynamics from neural activity recordings”, Conference on Cognitive Computational Neuroscience (CCN) virtual, 2021 (Keynote & Tutorial) - Youtube
  5. “Interpretable computational neuroscience: What are we modeling and what does it have to do with the brain?”, Computational and Systems Neuroscience (Cosyne) workshop, Denver, CO, 2020 - Youtube