2-069: Learning representations of moving objects in a reconstruction-free cortical circuit model
Friday 13th, 13:15-16:15 (Atena & Manu)
Inferring object identity and predicting their motion is essential for survival. We introduce Recurrent Predictive Learning (RPL), suggesting a general circuit motif that can be used by different brain regions to learn representations at different levels of abstraction.

preprint

2-096: Breaking Balance: Encoding local error signals in perturbations of excitation-inhibition balance
Friday 13th, 13:15-16:15 (Julian)
How does the brain implement error-driven learning? We show that local deviations from excitation/inhibition balance can encode instructive error signals, enabling biologically plausible learning across multilayer neural circuits while remaining consistent with Hebbian plasticity and in-vivo microcircuit dynamics.

preprint

3-091: Are excitatory-inhibitory assemblies an ideal substrate for efficient multi-purpose representations?
Saturday 14th, 13:15-16:15 (Julia)
How could early sensory areas efficiently support the different representational demands required for different tasks? We think that excitatory-inhibitory assemblies could be the solution, as they exhibit continuous but warped neural activity manifolds and are consistent with efficient coding.