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Compositionality exists on a continuum of increasing complexity rather than as a binary trait. Studying its implementation in simpler biological and artificial systems is the most tractable path towar...

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Large nonlinear recurrent neural networks with random couplings generate high-dimensional, potentially chaotic activity whose structure is of interest in neuroscience, machine learning, ecology, and o...

Much effort has been spent clustering neurons into transcriptomic or functional cell types and characterizing the differences between them. Beyond sub…

Complex, temporally evolving phenomena, from climate to brain activity, are governed by dynamical systems (DS). DS reconstruction (DSR) seeks to infer generative surrogate models of these from observe...

Apply for COSYNE 2026 Travel Grants to support your participation in Lisbon and Cascais, Portugal. Grants are available for students, postdocs, and PIs, including programs for Childcare, Presenters, N...

Thank you for applying for the Shanahan Foundation Fellowship at the Interface of Data and Neuroscience. Applications for the Fall 2026 cohort will close at 11:59pm PT on December 1st, 2025. Important...

The Fairmont Queen Elizabeth Hotel in Montreal has reopened after temporarily closing due to an ongoing labour dispute. Quebec’s largest hotel made the announcement on Dec. 12 and shut their doors day...

Behavioural experiments to study decision-making in response to context-dependent accumulation of evidence provide testable models that are consistent with the heterogeneity in neural signatures among...

The neocortex is organized into functionally specialized areas. While the functions and underlying neural circuitry of individual neocortical areas are well studied, it is unclear how these regions op...

A major challenge in neuroscience is reconciling idealized theoretical models with complex, heterogeneous experimental data. We address this challenge through the lens of continuous-attractor networks...