Results 71 to 80 of about 195,623 (300)
Disinhibition of hippocampal CA3 neurons induced by suppression of an adenosine A1 receptor-mediated inhibitory tonus: Pre- and postsynaptic components [PDF]
Intracellular recordings were performed on hippocampal CA3 neuronsin vitro to investigate the inhibitory tonus generated by endogenously produced adenosine in this brain region.
Alzheimer +60 more
core +1 more source
PolyGraph, a flexible graphene‐polycaprolactone nanocomposite, unites conductivity, biocompatibility, and processability for next‐generation neural interfaces. Fabricated into microneedle arrays with ultra‐flexible backings, PolyGraph enables bidirectional neuronal recording and stimulation in brain tissue, advancing brain‐computer interface (BCI) and ...
Jack Maughan +12 more
wiley +1 more source
Partial agonists at the NMDA receptor co-agonist binding site may have potential therapeutic efficacy in a number of cognitive and neurological conditions. The entorhinal cortex is a key brain area in spatial memory and cognitive processing.
Alex M Lench +2 more
doaj +1 more source
Support vector machines for spike pattern classification with a leaky integrate-and-fire neuron
Spike pattern classification is a key topic in machine learning, computational neuroscience and electronic device design. Here we offer a new approach for supervised spike pattern classification, combining a bio-mimetic neuron model with a method based ...
Maxime eAmbard, Stefan eRotter
doaj +1 more source
Dynamic layer-span connecting spiking neural networks with backpropagation training
Spiking Neural Network (SNN) is one of the mainstream frameworks for brain-like computing and neuromorphic computing, which has the potential to overcome current AI challenges, for example, low-power learning dynamic processes.
Zijjian Wang +4 more
doaj +1 more source
Reinforcement learning in populations of spiking neurons [PDF]
Population coding is widely regarded as a key mechanism for achieving reliable behavioral responses in the face of neuronal variability. But in standard reinforcement learning a flip-side becomes apparent.
A Pouget +13 more
core +2 more sources
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source
Tatsuo Suzuki,1 Wei-Dong Yao21Department of Neuroplasticity, Shinshu University Graduate School of Medicine, Matsumoto, Japan; 2Department of Psychiatry, Beth Israel Deaconess Medical Center, and Division of Neuroscience, New England Primate Research ...
Suzuki T, Yao WD
doaj
Identification of proteins in the postsynaptic density fraction by mass spectrometry [PDF]
Our understanding of the organization of postsynaptic signaling systems at excitatory synapses has been aided by the identification of proteins in the postsynaptic density (PSD) fraction, a subcellular fraction enriched in structures with the morphology ...
Jensen, Ole N. +5 more
core +2 more sources
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source

