We propose a new memristive model for the neuronal synapse based on the spike-timing-dependent plasticity (STDP) protocol, considering both long-term and short-term plasticity in the synapse. Higher-order behavior is modeled by a memristor with adaptive thresholds, which realizes the well-established suppression principle of Froemke. We assume a mechanism of variable thresholds adapting to synaptic potentiation (LTP) and depression (LTD), which reproduces the refractory time in the weight modification. The corresponding dynamical process is governed by a set of ordinary differential equations. Interestingly, the Froemke's model and our memristive model, based on two completely different mechanisms, are found to be quantitatively equivalent for the 'pre-post-pre' case and 'post-pre-post' case. A relation of the adaptive thresholds to short-term plasticity is addressed.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1109/TBCAS.2014.2318012 | DOI Listing |
J Biotechnol Biomed
November 2024
Department of Translational Research, College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona CA 91766, USA.
Traumatic brain injury (TBI) is one of the growing public health problems and a leading cause of disabilities and mortality worldwide. After the mechanical impact to the head, patients of all ages suffer from cognitive and neurological deficits, as well as psychological disorders to different extents. In the last years, the use of electrical impulses and magnetic currents to achieve therapeutic effects have shown promising results and became potential treatments for TBI.
View Article and Find Full Text PDFACS Nano
December 2024
School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.
Artificial intelligence (AI) has made significant strides by imitating biological neurons and synapses through simplified models, yet incomplete neuron functionalities can limit performance and energy efficiency in handling complex tasks. Biological neurons process input signals nonlinearly, utilizing dendrites to process spatial-temporal information. This study demonstrates the compact artificial dendrite device employing memristors based on bismuth oxyselenide (BiOSe).
View Article and Find Full Text PDFJ Neurosci
December 2024
Neurobiology Laboratory, National Institute of Environmental Health Sciences, Division of Intramural Research, National Institute of Health, Research Triangle Park, North Carolina 27713, USA
Perineuronal nets (PNNs) are a specialized extracellular matrix that surround certain populations of neurons, including (inhibitory) parvalbumin (PV) expressing-interneurons throughout the brain and (excitatory) CA2 pyramidal neurons in hippocampus. PNNs are thought to regulate synaptic plasticity by stabilizing synapses and as such, could regulate learning and memory. Most often, PNN functions are queried using enzymatic degradation with chondroitinase, but that approach does not differentiate PNNs on CA2 neurons from those on adjacent PV cells.
View Article and Find Full Text PDFLife Sci
December 2024
Department of Rehabilitation Medicine, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi 330006, China; The First Clinical Medical College School, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi 330006, China; Jiangxi Provincial Key Laboratory of Trauma, Burn and Pain Medicine, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi 330006, China. Electronic address:
Aims: This study explores the potential of neuromodulation, specifically transcranial alternating current stimulation (tACS), as a promising rehabilitative therapy in spinal cord injury (SCI).
Main Methods: By meticulously optimizing treatment parameters and durations, our objective was to enhance nerve regeneration and facilitate functional recovery. To assess the efficacy of tACS, our experiments used the rat T10 SCI model.
J Neurophysiol
December 2024
Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA.
The dorsolateral prefrontal cortex (DLPFC) plays a crucial role in primate cognition, integrating multimodal information to generate top-down signals for cognitive control. During cognitive tasks, the DLPFC displays activity patterns of exceptional complexity and duration not observed in other cortical areas or species. These activity patterns are likely associated with the unique physiological and morphological properties of primate DLPFC pyramidal neurons (PNs).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!