首页|Findings from New York University (NYU) in Neural Computation Reported (Desidera ta for Normative Models of Synaptic Plasticity)
Findings from New York University (NYU) in Neural Computation Reported (Desidera ta for Normative Models of Synaptic Plasticity)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in neural computation. According to news originating from New York City, New York, by NewsRx editors, the research stated, “Normative models of synaptic plasticity use computational rationales to arrive at predictions of behavioral and network -level adaptive phenomena.” The news correspondents obtained a quote from the research from New York Univers ity (NYU): “In recent years, there has been an explosion of theoretical work in this realm, but experimental confirmation remains limited. In this review, we or ganize work on normative plasticity models in terms of a set of desiderata that, when satisfied, are designed to ensure that a given model demonstrates a clear link between plasticity and adaptive behavior, is consistent with known biologic al evidence about neural plasticity and yields specific testable predictions. As a prototype, we include a detailed analysis of the REINFORCE algorithm.”
New York University (NYU)New York CityNew YorkUnited StatesNorth and Central AmericaComputationEmerging Tech nologiesMachine LearningModels Of Synaptic PlasticityNeural Computation
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