Abstract: This paper proposes a quantum multimodal neural network (QMNN) model that can be implemented on parameterized quantum circuits (PQCs), providing a novel avenue for processing multimodal data ...

This study provides valuable insights into the differential impact of intrinsic and synaptic conductances on circuit robustness, emphasizing intrinsic plasticity as a crucial but often overlooked ...

We present a new class of RP models that are learned by optimizing the randomly selected sparse projections themselves. This “reshaping” of projections is akin to changing synaptic connections in just ...

1 Laboratory of Mammalian Neural Circuits, National Institute of Genetics ... Integrative and comparative analyses of results obtained using different model systems will help elucidate the entire ...

Citation: Social context tunes visual perception in fruit flies: Three neural circuit mechanisms linked to vision changes (2024, November 22) retrieved 13 December 2024 from https://medicalxpress ...

An international team of researchers has identified a key genetic mechanism that regulates the formation and migration of ...

Researchers at the Champalimaud Foundation (CF) have identified a neural circuit in the brain that governs sexual rejection ...

Reward signaling via dopamine is most commonly thought of as acting through neurons expressing either D1 or D2 dopamine receptors. Enriquez-Traba et al. show that neurons in the ventral striatum ...

Researchers have developed a method using viruses to track neuronal development in frogs, shedding light on the evolution of ...

Modelling brain circuit dynamics of rewarding, aversive and risky decisions The goal of this project was to develop large-scale neural circuit model of value learning and risky decision. Research ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...