TL;DR
Neural-network simulations suggest that volume-transmitted excitatory signals can improve associative memory retrieval in sparsely connected networks and point to a potential computational consequence of glutamate spillover for brain circuit function.
Observations support a view of BTSP as a multi-factor plasticity rule that links synaptic, circuit, and systems-level processes, providing a biologically grounded framework for understanding how the brain rapidly incorporates new information.
It is shown that robust and reversible plasticity can be induced in adult mice by prolonged dark exposure (DE) and light reintroduction (LRx) and that robust plasticity is engaged at thalamocortical synapses in adults by visual deprivation, a non-invasive manipulation with therapeutic potential.
These findings support a disinhibitory role for presynaptic GABAB receptors, which bolsters synaptic inhibition to transiently counter post-SE hyperexcitability, and offers a targetable mechanism for therapeutic intervention during epileptogenesis.
Connectomics is used to map the cell types and synaptic connections underlying a form of multi-layer continual learning that cancels predictable sensory responses in a cerebellum-like structure in electric fish, highlighting the potential of connectomics, in combination with cell-type-specific physiological recordings...
The results suggest that tuft spikes may be particularly driven by inputs from neurons that are both embedded in sparse subnetworks and synchronized through coupling to larger-scale functional networks.
Summary Brain stimulation offers promising avenues for cognitive enhancement, yet conventional paradigms often overlook the active role of astrocytes and treat stimulation as an all-or-none intervention without considering spatial information or competition among temporal dynamics. We present a spiking neuron-astrocyte...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
