Structural influences on synaptic plasticity: The role of presynaptic connectivity in the emergence of E/I co-tuning

Feed forward Stimulus (psychology)
DOI: 10.1371/journal.pcbi.1012510 Publication Date: 2024-10-31T17:51:37Z
ABSTRACT
Cortical neurons are versatile and efficient coding units that develop strong preferences for specific stimulus characteristics. The sharpness of tuning efficiency is hypothesized to be controlled by delicately balanced excitation inhibition. These observations suggest a need detailed co-tuning excitatory inhibitory populations. Theoretical studies have demonstrated combination plasticity rules can lead the emergence excitation/inhibition (E/I) in driven independent, low-noise signals. However, cortical signals typically noisy originate from highly recurrent networks, generating correlations inputs. This raises questions about ability mechanisms self-organize co-tuned connectivity receiving noisy, correlated Here, we study input selectivity weight neuron network via plastic feedforward connections. We demonstrate while noise levels destroy readout neuron, introducing structures non-plastic pre-synaptic re-establish it favourable correlation structure population activity. further show structured impact statistics fully driving formation do not receive direct other areas. Our findings indicate dynamics created simple, biologically plausible structural patterns enhance synaptic learn input-output relationships higher brain
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