We present a mathematical model of a biological synapse based on stochastic processes to establish the temporal behavior of the postsynaptic potential following a quantal synaptic transmission. This potential form is the basis of the neural code. We suppose that the release of neurotransmitters in the synaptic cleft follows a Poisson process, and that they diffuse according to integrated Ornstein-Uhlenbeck processes in 3-D with random initial positions and velocities. The diffusion occurs in an isotropic environment between two infinite parallel planes representing the pre- and postsynaptic membrane. We state that the presynaptic membrane is perfectly reflecting and that the other is perfectly absorbing. The activation of the receptors polarizes the postsynaptic membrane according to a parallel RC circuit scheme. We present the results obtained by simulations according to a Gillespie algorithm and we show that our model exhibits realistic postsynaptic behaviors from a simple quantal occurrence.
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http://dx.doi.org/10.1109/TNNLS.2013.2260559 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Computational Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037.
Recurrent neural networks (RNNs) based on model neurons that communicate via continuous signals have been widely used to study how cortical neural circuits perform cognitive tasks. Training such networks to perform tasks that require information maintenance over a brief period (i.e.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
School of Materials and Energy, Lanzhou University (LZU), Lanzhou 730000, China.
Complementary neural network circuits combining multifunctional high-performance p-type with n-type organic artificial synapses satisfy sophisticated applications such as image cognition and prosthesis control. However, implementing the dual-modal memory features that are both volatile and nonvolatile in a synaptic transistor is challenging. Herein, for the first time, we propose a single vertical n-type organic synaptic transistor (VNOST) with a novel polymeric organic mixed ionic-electronic conductor as the core channel material to achieve dual-modal synaptic learning/memory behaviors at different operating current densities via the formation of an electric double layer and the reversible ion doping.
View Article and Find Full Text PDFMol Neurobiol
January 2025
Otology & Neurotology Group CTS495, Division of Otolaryngology, Department of Surgery, Instituto de Investigación Biosanitaria, Ibs.GRANADA, Granada, Universidad de Granada, Granada, Spain.
Tinnitus is the perception of sound without an external source, often associated with changes in the auditory pathway and different brain regions. Recent research revealed an overload of missense variants in the ANK2 gene in individuals with severe tinnitus. ANK2, encoding ankyrin-B, regulates axon branching and inhibits microtubule invasion.
View Article and Find Full Text PDFNat Med
January 2025
Department of Hematology/Oncology, Cell and Gene Therapy, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS), Bambino Gesù Children's Hospital, Rome, Italy.
Allogeneic chimeric antigen receptor (CAR) T cells targeting disialoganglioside-GD2 (ALLO_GD2-CART01) could be a therapeutic option for patients with relapsed or refractory, high-risk neuroblastoma (r/r HR-NB) whose tumors did not respond to autologous GD2-CART01 or who have profound lymphopenia. We present a case series of five children with HR-NB refractory to more than three different lines of therapy who received ALLO_GD2-CART01 in a hospital exemption setting. Four of them had previously received allogeneic hematopoietic stem cell transplantation.
View Article and Find Full Text PDFThromb Haemost
January 2025
Department of Bioinformatics, Biocenter, University of Würzburg, Wurzburg, Germany.
Comprehensive characterization of platelets requires various functional assays and analysis techniques, including omics-disciplines, each requiring an individual aliquot of a given sample. Consequently, the sample material per assay is often highly limited rendering downscaling a prerequisite for effective sample exploitation. Here we present a transfer of our recently introduced 96-well-based proteomics workflow (PF96) into the 384-well format (PF384) allowing for a significant increase in sensitivity when processing minute platelet protein amounts.
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