21 papers · ranked by Valyu relevance
Mojtaba Madadi Asl
2.1### Delays change spike timings perceived at the synapse As illustrated in [F1], consider that the presynaptic neuron (1) is connected to the postsynaptic neuron (2), characterized by the coupling weight w21. If the presynaptic neuron fires at tpre = t1 and the postsynaptic neuron fires at tpost = t2, both the…
Lucas Deckers, Laurens Van Damme, Werner Van Leekwijck, Ing Jyh Tsang + 1 more
'Ing Jyh Tsang' 'Steven Latré'] Spiking neural network (SNN) distinguish themselves from artificial neural network (ANN) because of their inherent temporal processing and spike-based computations, enabling a power-efficient implementation in neuromorphic hardware. In this study, we demonstrate that data processing with…
Camille E. Rullán Buxó, Jonathan W. Pillow
An important problem in computational neuroscience is to understand how networks of spiking neurons can carry out various computations underlying behavior. Balanced spiking networks (BSNs) provide a powerful framework for implementing arbitrary linear dynamical systems in networks of integrate-and-fire neurons (Boerlin…
Alireza Nadafian, Mohammad Ganjtabesh
The plasticity of the conduction delay between neurons plays a fundamental role in learning. However, the exact underlying mechanisms in the brain for this modulation is still an open problem. Understanding the precise adjustment of synaptic delays could help us in developing effective brain-inspired computational…
Paulo R. Protachevicz, F. S. Borges, A. M. Batista, M. S. Baptista + 3 more
'I. L. Caldas' 'Elbert E. N. Macau' 'E. L. Lameu'] The brain is formed by cortical regions that are associated with different cognitive functions. Neurons within the same region are more likely to connect than neurons in distinct regions, making the brain network to have characteristics of a network of subnetworks. The…
Ewandson L. Lameu, Elbert E. N. Macau, Fernando S. Borges, Kelly C. Iarosz + 5 more
'Kelly C. Iarosz' 'Iberê L. Caldas' 'Rafael R. Borges' 'Paulo R. Protachevicz' 'Ricardo L. Viana' 'Antônio M. Batista'] Brain plasticity refers to brain's ability to change neuronal connections, as a result of environmental stimuli, new experiences, or damage. In this work, we study the effects of the synaptic delay on…
Navid Hasanzadeh, Mohammadreza Rezaei, Sayan Faraz, Milos R. Popovic + 1 more
'Milad Lankarany'] Reliable propagation of slow-modulations of the firing rate across multiple layers of a feedforward network (FFN) has proven difficult to capture in spiking neural models. In this paper, we explore necessary conditions for reliable and stable propagation of time-varying asynchronous spikes whose…
Mojtaba Madadi Asl, Alireza Valizadeh, Peter A. Tass
Biological neuronal networks are highly adaptive and plastic. For instance, spike-timing-dependent plasticity (STDP) is a core mechanism which adapts the synaptic strengths based on the relative timing of pre- and postsynaptic spikes. In various fields of physiology, time delays cause a plethora of biologically…
Akke Mats Houben
Neurons are connected to other neurons by axons and dendrites that conduct signals with finite velocities, resulting in delays between the firing of a neuron and the arrival of the resultant impulse at other neurons. Since delays greatly complicate the analytical treatment and interpretation of models, they are usually…
Meenakshi Asokan, Karishma Chhabria, V Srinivasa Chakravarthy
Learning and plasticity in the brain has been generally attributed to the synaptic activity in a neuronal network. However, recent studies propose that the changes in conduction velocity of action potentials could affect the synchrony of spike arrival timings at the synapse, thereby modulating plasticity. This is…
Xiang Huang, Noah Cohen Kalafut, Sayali Alatkar, Athan Z. Li + 3 more
Studying temporal features of neural activities is crucial for understanding the functions of neurons as well as underlying neural circuits. To this end, recent researches employ emerging techniques including calcium imaging, Neuropixels, depth electrodes, and Patch-seq to generate multimodal time-series data that…
A. Barri, M. T. Wiechert, M. Jazayeri, D. A. DiGregorio
Temporal sequences of neural activity are essential for driving well-timed behaviors, but the underlying cellular and circuit mechanisms remain elusive. We leveraged the well-defined architecture of the cerebellum, a brain region known to support temporally precise actions, to explore theoretically whether the…
A. Fiasconaro, Michele Migliore
We study the synchronisation of neurons in a realistic model under the Hodgkin-Huxley dynamics. To focus on the role of the different locations of the excitatory synapses, we use two identical neurons where the set of input signals is grouped at two different distances from the soma. The system is intended to represent…
Xiang Huang, Noah Cohen Kalafut, Sayali Anil Alatkar, Athan Z. Li + 3 more
Studying the temporal dynamics of neural activities is essential for understanding how neurons function. These dynamics often involve temporal delays between neurons that vary over time, revealing both their functions and how they interact within circuits. Recent techniques such as Neuropixels, depth electrodes, and…
Alexandra S. Cao, Stephen D. Van Hooser
The transmission of high-frequency temporal information across brain regions is critical to perception, but the mechanisms underlying such transmission remain unclear. Long-range projection patterns across brain areas are often comprised of paired feedforward excitation followed closely by delayed inhibition, including…
Antoine Grimaldi, Amélie Gruel, Camille Besnainou, Jean Martinet + 1 more
Why do neurons communicate through spikes? By definition, spikes are all-or-none neural events which occur at continuous times. In other words, spikes are on one side binary, existing or not without further details, and on the other can occur at any asynchronous time, without the need for a centralized clock. This…
Eleftheria Kyriaki Pissadaki, Kyriaki Sidiropoulou, Martin Reczko, Panayiota Poirazi + 1 more
'Panayiota Poirazi' 'Lyle J. Graham'] The in vivo activity of CA1 pyramidal neurons alternates between regular spiking and bursting, but how these changes affect information processing remains unclear. Using a detailed CA1 pyramidal neuron model, we investigate how timing and spatial arrangement variations in synaptic…
Matheus Hansen, Paulo R. Protachevicz, Kelly C. Iarosz, Iberê L. Caldas + 2 more
'Iberê L. Caldas' 'Antônio M. Batista' 'Elbert E. N. Macau'] We study the time delay in the synaptic conductance for suppression of spike synchronisation in a random network of Hodgkin Huxley neurons coupled by means of chemical synapses. In the first part, we examine in detail how the time delay acts over the network…
Vivek George, Vikash Morar, Gabriel Silva
Spike-timing dependent plasticity (STDP) is widely accepted as a mechanism through which the brain can learn information from different stimuli(1, 2). Basing synaptic changes on the timing between presynaptic and postsynaptic spikes enhances contributing edges within a network(3, 4). While STDP rules control the…
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…
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…