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Despite its simplicity, the dynamics was so rich that activity patterns of neurons evolved with time without recurrence due to random recurrent connections among neurons.
These stable states are determined by the weights of the recurrent connections between the units (neurons) in the network.
Furthermore, recurrent connections could improve the directional selectivity of the neurons.
In this model, the loss of information over time results from changes in the spiking neural activity through recurrent connections.
In this talk, I will take inspiration from neurobiology to suggest possible computations that could be instantiated by recurrent connections.
In addition, the recurrent connections and feed forward connections are used to represent the incremental values in the design parameters.
The concrete words contained more semantic features, so they used the recurrent connections more effectively and were less dependent on the feed-forward connections.
He trained a network with feed-forward and recurrent connections to map both concrete and abstract words from orthography to semantics.
Lesioning the feed-forward connections produced a relative deficit for abstract words, while lesioning the recurrent connections produced a relative deficit for concrete words.
Following Marr's three-level description of visual processing, we will present behavioral, physiological and computational evidence demonstrating how recurrent connections can help solve the problem of pattern completion.
The direction of hysteresis in the neuronal response may be reversed for the system with recurrent connections compared to the case of unconnected neurons.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com