Results 71 to 80 of about 8,644,509 (305)
Bidirectional plasticity of excitatory postsynaptic potential (EPSP)-spike coupling in CA1 hippocampal pyramidal neurons [PDF]
International audienceIntegration of synaptic excitation to generate an action potential (excitatory postsynaptic potential-spike coupling or E-S coupling) determines the neuronal output.
G. Daoudal +5 more
core +1 more source
In this study, we fabricate photovoltaic retinal implants with pyrolytic carbon electrodes and test their ability to stimulate mouse and pig retinas when illuminated with near‐infrared light. We find increased spiking activity in both animal models compared to spontaneous activity and TTX controls and analyze the spike amplitude, latency and frequency.
Akihiro Matsumoto +10 more
wiley +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
Background The release of various neurotransmitters and thereby the excitability of neuronal circuits are regulated by the endocannabinoid system in an activity-dependent manner. Hippocampal long-term potentiation (LTP) is augmented in cannabinoid type 1
Masoumeh Nazari +4 more
doaj +1 more source
Structure-function analysis on the level of individual synapses [PDF]
Excitatory synapses in the mammalian brain are made on small protrusions of the postsynaptic cell called dendritic spines. Dendritic spines are highly variable in their morphology and in their microanatomy (e.g. presence of subsynaptic organelles). It is
Holbro, Niklaus
core +1 more source
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
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
Analog Synaptic Plasticity in 2D Layered Material Iontronic Memtransistors for Brain-Inspired Computing. [PDF]
In this work, we demonstrated a robust 2D MoS2 based iontronic memtransistor of planar architecture operated under the influence of an electrical double layer with versatile performance and applications, including pinched hysteresis nature of transfer curve, analogue channel conductance tuning, low‐voltage operation, logic‐gate operation, classical ...
Saha P, Bej S, Das BC.
europepmc +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

