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Gloria Cecchini results 2 · Newest (Page 1/1, per page 25)
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Journal of Computational Neuroscience · 2026 · Vol. 54 · Issue 2 · Springer
In neural networks within the brain, the activity of a post-synaptic neuron is determined by the combined influence of many pre-synaptic neurons. This distributed processing enables mechanisms like Hebbian plasticity to associate sensory inputs with specific internal states, as seen in feedforward structures such as the CA1 region of the hippocampus. By modifying synaptic weights through Hebbian rules, sensory inputs can subse...
Journal of Computational Neuroscience · 2021 · Vol. 49 · Issue 2 · Springer
An inverse procedure is developed and tested to recover functional and structural information from global signals of brains activity. The method assumes a leaky-integrate and fire model with excitatory and inhibitory neurons, coupled via a directed network. Neurons are endowed with a heterogenous current value, which sets their associated dynamical regime. By making use of a heterogenous mean-field approximation, the method se...