Search · four archives
Search · four archives
23 papers · ranked by Valyu relevance
Chengting Yu, Zheming Gu, Da Li, Gaoang Wang + 2 more
Spiking neural networks (SNNs), as one of the algorithmic models in neuromorphic computing, have gained a great deal of research attention owing to temporal information processing capability, low power consumption, and high biological plausibility. The potential to efficiently extract spatio-temporal features makes it…
Chengting Yu, Zheming Gu, Da Li, Gaoang Wang + 2 more
'Er‐Ping Li'] Spiking Neural Networks (SNNs), as one of the algorithmic models in neuromorphic computing, have gained a great deal of research attention owing to temporal information processing capability, low power consumption, and high biological plausibility. The potential to efficiently extract spatiotemporal…
Masato Morita, Reo Higashi, Shin-ya Kawaguchi
Processing of synaptic signals in somatodendritic compartments determines the neuronal computation. Although amplification of excitatory signals by local voltage-dependent cation channels has been extensively studied, its spatio-temporal dynamics in elaborate dendritic branches remains obscure because of technical…
Lihao Wang, Zhaofei Yu
of Spiking Neural Networks Authors: ['Lihao Wang' 'Zhaofei Yu'] Spiking Neural Networks (SNNs) emulate the integrated-fire-leak mechanism found in biological neurons, offering a compelling combination of biological realism and energy efficiency. In recent years, they have gained considerable research interest. However…
Mohammad Dehghani-Habibabadi, Klaus Pawelzik, Abigail Morrison
Spiking model neurons can be set up to respond selectively to specific spatio-temporal spike patterns by optimization of their input weights. It is unknown, however, if existing synaptic plasticity mechanisms can achieve this temporal mode of neuronal coding and computation. Here it is shown that changes of synaptic…
David Beniaguev, Sapir Shapira, Idan Segev, Michael London
A cortical neuron typically makes multiple synaptic contacts on the dendrites of its postsynaptic target neuron. The functional implications of this apparent redundancy are unclear. Due to dendritic cable filtering, proximal dendritic synapses generate brief somatic postsynaptic potentials (PSPs) whereas distal…
Mohammad Dehghani-Habibabadi, Klaus Richard Pawelzik
Spiking model neurons can be set up to respond selectively to specific spatio-temporal spike patterns by optimization of their input weights. It is unknown, however, if existing synaptic plasticity mechanisms can achieve this temporal mode of neuronal coding and computation. Here it is shown that changes of synaptic…
Per E. Roland
The cellular biology of brains is relatively well-understood, but neuroscientists have not yet generated a theory explaining how brains work. Explanations of how neurons collectively operate to produce what brains can do are tentative and incomplete. Without prior assumptions about the brain mechanisms, I attempt here…
Sebastian Spreizer, Ad Aertsen, Arvind Kumar
Spatio-temporal sequences of neuronal activity are observed in many brain regions in a variety of tasks and are thought to form the basis of any meaningful behavior. Mechanisms by which a neuronal network can generate spatio-temporal activity sequences have remained obscure. Existing models are biologically untenable…
Dulara De Zoysa, Sylvester J. Gates, Anna M. Emenheiser, Kate M. O’Neill + 1 more
This study explores collective learning in living neural networks, focusing on group-to-group Hebbian learning, i.e., strengthening and weakening of links dependent on the precise timing of their activities. While neuronal plasticity is now well understood for single pairs of neurons, recent research has demonstrated…
Simon Davidson, Steve Furber, Oliver Rhodes
Recent successes in the application of neural networks have been in Artificial Neural Networks (ANNs) with deep structure and trained with back-propagation, inspired by neuroscience but very much an engineering abstraction. Traditional approaches more firmly rooted in the biology - with information flow encoded as…
Christian Albers, Maren Westkott, Klaus Pawelzik
Precise spatio-temporal patterns of neuronal action potentials underly e.g. sensory representations and control of muscle activities. However, it is not known how the synaptic efficacies in the neuronal networks of the brain adapt such that they can reliably generate spikes at specific points in time. Existing…
Yael Katz, William L Kath, Nelson Spruston, Michael E Hasselmo + 1 more
'Karl J Friston'] Recent advances in single-neuron biophysics have enhanced our understanding of information processing on the cellular level, but how the detailed properties of individual neurons give rise to large-scale behavior remains unclear. Here, we present a model of the hippocampal network based on observed…
Sunggu Yang, Mariton D. Santos, Cha-Min Tang, Jae Geun Kim + 1 more
'Sungchil Yang'] Synaptic plasticity is a fundamental component of information processing in the brain. Presynaptic facilitation in response to repetitive stimuli, often referred to as paired-pulse facilitation (PPF), is a dominant form of short-term synaptic plasticity. Recently, an additional cellular mechanism for…
Ian H. Stevenson
Whether, when, and how causal interactions between neurons can be meaningfully studied from observations of neural activity alone are vital questions in neural data analysis. Here we aim to better outline the concept of functional connectivity for the specific situation where systems neuroscientists aim to study…
Afsaneh Taheri Kal-Koshvandi
We present the first light-free, genetically minimal platform for spatiotemporally resolved proximity labeling across five neuronal compartments—synaptic, nuclear, endosomal, mitochondrial, and activity-dependent microdomains. A covalent "catalyst–luciferase sandwich" architecture site-specifically conjugates five…
Andrew B. Lehr, Jannik Luboeinski, Christian Tetzlaff
Events that are important to an individual’s life trigger neuromodulator release in brain areas responsible for cognitive and behavioral function. While it is well known that the presence of neuromodulators such as dopamine and norepinephrine is required for memory consolidation, the impact of neuromodulator…
Yuanmo Wang, Ajay Pradhan, Pankaj Gupta, Jörg Hanrieder + 2 more
Acetylcholine (ACh) is a critical neurotransmitter influencing various neurophysiological functions. Despite its significance, there is a lack of quantitative methods with adequate spatiotemporal resolution for recording single exocytotic efflux of ACh. In this study, we present an ultrafast amperometric ACh biosensor…
Giuseppe Chindemi, Marwan Abdellah, Oren Amsalem, Ruth Benavides-Piccione + 14 more
Long-term potentiation (LTP) and long-term depression (LTD) of pyramidal cell connections are among the key mechanisms underlying learning and memory in the brain. Despite their important role, only a few of these connections have been characterized in terms of LTP/LTD dynamics, such as the one between layer 5…
Daniele Poli, Srikanth Thiagarajan, Thomas B. DeMarse, Bruce C. Wheeler + 1 more
'Bruce C. Wheeler' 'Gregory J. Brewer'] To better understand encoding and decoding of stimulus information in two specific hippocampal sub-regions, we isolated and co-cultured rat primary dentate gyrus (DG) and CA3 neurons within a two-chamber device with axonal connectivity via micro-tunnels. We tested the hypothesis…
Clemens Korndörfer, Ekkehard Ullner, Jordi García‐Ojalvo, Gordon Pipa
'Gordon Pipa'] Spike synchrony, which occurs in various cortical areas in response to specific perception, action and memory tasks, has sparked a long-standing debate on the nature of temporal organization in cortex. One prominent view is that this type of synchrony facilitates the binding or grouping of separate…
Spencer Kim, Dylan Gray, Michelle Shanguhyia, Rachel Steinhardt
Recreating the signaling profile a chemical synapse to analyze serotonin receptor activation is a challenge. This is due in part to the kinetics of the synapse, where neurotransmitters are rapidly released and quickly cleared by active reuptake machinery. One strategy to produce a rapid rise in a bio-orthogonally…
Authors not listed
Acetylcholine (ACh) is a key neurotransmitter involved in cognitive function, motor control, and synaptic modulation, yet its electrochemical inactivity and the rapid kinetics of exocytosis have hindered real-time quantal detection. Previous micrometer-scale enzymatic ACh biosensors enabled sub-millisecond…