Into population dynamics? Coming to #CNS2025 but not quite ready to head home?

Come join us! at the Symposium on "Neural Population Dynamics and Latent Representations"! 🧠
📆 July 10th
📍 Scuola Superiore Sant’Anna, Pisa (and online)
👉 Free registration: neurobridge-tne.github.io
#compneuro

This led us to the hypothesis (and model): Different contexts recruit different assemblies. Upon assembly activation, place cells receive an assembly-specific depolarization that, combined with an oscillatory somatic inhibition, leads to an assembly-specific phase and rate. [9/11]

We also noticed that phase changes (temporal code) often co-occurred with changes in the instantaneous firing rate (rate code) of the unit. [8/11]

… and, within the same place field, between different contexts. [7/11]

Given the link between assembly membership and place field/trial type, this time we isolated the unit’s spikes by place field and found that, as for different assemblies, the unit’s firing phase could discriminate between distinct place fields … [6/11]

Hippocampal units often took part in multiple assemblies, e.g. when active in different place fields or in the same field but during different trial types. We found that the same unit could change phase preference of firing when active in different assemblies. [5/11]

By isolating the spikes fired by neurons during assembly activations, we found that place cells explore a narrower theta-phase range when active within a specific assembly. [4/11]

Together with the assembly composition, CAD provides the time scale of coordination between assembly units. As expected, hippocampal coding operates across multiple time scales, paced by the local theta rhythm. [3/11]

Interested in how neuronal dynamics supports reinforcement learning? #compneuro
Join us! 📢 PhD position in the Brain Dynamics Laboratory at @SantAnnaPisa, Italy.

Deadline: 13:00 of 29 July 2024
www.unicam.it/bandi/2024/b...

Project description under ‘Code 4.2’:
www.unicam.it/sites/defaul...