20 papers · ranked by Valyu relevance
T. P. Vogels, R. C. Froemke, N. Doyon, M. Gilson + 8 more
'R. Liu' 'A. Maffei' 'P. Miller' 'C. J. Wierenga' 'M. A. Woodin' 'F. Zenke' 'H. Sprekeler'] While the plasticity of excitatory synaptic connections in the brain has been widely studied, the plasticity of inhibitory connections is much less understood. Here, we present recent experimental and theoretical findings…
Fredrik Sandin, Mattias Nilsson
Spiking neural networks are well-suited for spatiotemporal feature detection and learning, and naturally involve dynamic delay mechanisms in the synapses, dendrites, and axons. Dedicated delay neurons and axonal delay circuits have been considered when implementing such pattern recognition networks in dynamic…
Jana Nerlich, Christian Keine, Rudolf Rübsamen, R. Michael Burger + 1 more
'Ivan Milenkovic'] Spherical bushy cells (SBCs) in the anteroventral cochlear nucleus respond to acoustic stimulation with discharges that precisely encode the phase of low-frequency sound. The accuracy of spiking is crucial for sound localization and speech perception. Compared to the auditory nerve input, temporal…
Fredrik Sandin, Mattias Nilsson
Spiking neural networks implemented in dynamic neuromorphic processors are well suited for spatiotemporal feature detection and learning, for example in ultra low-power embedded intelligence and deep edge applications. Such pattern recognition networks naturally involve a combination of dynamic delay mechanisms and…
Sally Horton, Vincenzo Mastrolia, Rachel Jackson, Sarah Kemlo + 7 more
A balance between excitation and inhibition is crucial for neurotypical brain function. Indeed, disruptions in this relationship are frequently associated with the pathophysiology of neurodevelopmental disorders. Nevertheless, how this balance is established during the dynamic period of neurodevelopment remains…
Katharina A. Wilmes, Henning Sprekeler, Susanne Schreiber, Claus C. Hilgetag
'Claus C. Hilgetag'] Synaptic plasticity is thought to induce memory traces in the brain that are the foundation of learning. To ensure the stability of these traces in the presence of further learning, however, a regulation of plasticity appears beneficial. Here, we take up the recent suggestion that dendritic…
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…
Matthew Fischl, Alia Pederson, Rebecca Voglewede, Hui Cheng + 3 more
'Jordan Drew' 'Lester Torres Cadenas' 'Catherine J. C. Weisz'] The encoding of acoustic stimuli requires precise neuron timing. Auditory neurons in the cochlear nucleus (CN) and brainstem are well suited for accurate analysis of fast acoustic signals, given their physiological specializations of fast membrane time…
Felix Benjamin Kern, Takahisa Date, Zenas C. Chao
Neural systems are hypothesized to operate near criticality, enhancing their capacity for optimal information processing, transmission and storage capabilities. Criticality has typically been studied in spiking neural networks and related systems organized in random or full connectivity, with the balance of excitation…
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…
Marius E. Yamakou, Poul G. Hjorth, Erik A. Martens
Electrical and chemical synapses shape the dynamics of neural networks and their functional roles in information processing have been a longstanding question in neurobiology. In this paper, we investigate the role of synapses on the optimization of the phenomenon of self-induced stochastic resonance in a delayed…
Chungwon Park, Xingxiang Chen, Chong-Li Tian, Gyu Nam Park + 7 more
Maintaining the balance between neuronal excitation and inhibition is essential for proper function of the central nervous system, with inhibitory synaptic transmission playing an important role. Although inhibitory transmission has higher kinetic demands compared to excitatory transmission, its properties are poorly…
Hwayeon Ryu, Sue Ann Campbell
We study synaptically coupled neuronal networks to identify the role of coupling delays in network's synchronized behaviors. We consider a network of excitable, relaxation oscillator neurons where two distinct populations, one excitatory and one inhibitory, are coupled and interact with each other. The excitatory…
Pau Vilimelis Aceituno, Masud Ehsani, Jürgen Jost
Latency reduction of postsynaptic spikes is a well-known effect of Synaptic Time-Dependent Plasticity. We expand this notion for long postsynaptic spike trains, showing that, for a fixed input spike train, STDP reduces the number of postsynaptic spikes and concentrates the remaining ones. Then we study the consequences…
Tuan Pham, Julie S. Haas
As information about the world traverses the brain, the signals exchanged between neurons are passed and modulated by synapses, or specialized contacts between neurons. While neurotransmitter-based synapses tend to be either relay excitatory or inhibitory pulses of influence on the postsynaptic neuron, electrical…
Mattias Nilsson, Foteini Liwicki, Fredrik Sandin
—Spiking neurons can perform spatiotemporal feature detection by nonlinear synaptic and dendritic integration of presynaptic spike patterns. Multicompartment models of nonlinear dendrites and related neuromorphic circuit designs enable faithful imitation of such dynamic integration processes, but these approaches are…
Hananel Hazan, Simon Caby, Christopher Earl, Hava T. Siegelmann + 1 more
'Michael Levin'] A common view in the neuroscience community is that memory is encoded in the connection strength between neurons. This perception led artificial neural network models to focus on connection weights as the key variables to modulate learning. In this paper, we present a prototype for weightless spiking…
Sami Boudkkazi, Dominique Debanne, Katsuhiko Tabuchi
Neuronal timing with millisecond precision is critical for many brain functions such as sensory perception, learning and memory formation. At the level of the chemical synapse, the synaptic delay is determined by the presynaptic release probability (Pr) and the waveform of the presynaptic action potential (AP). For…
Everton J. Agnes, Andrea I. Luppi, Tim P. Vogels
Cortical areas comprise multiple types of inhibitory interneurons with stereotypical connectivity motifs, but their combined effect on postsynaptic dynamics has been largely unexplored. Here, we analyse the response of a single postsynaptic model neuron receiving tuned excitatory connections alongside inhibition from…
Authors not listed
Researching the EEEV virus is challenging due to the virus's high lethality and significant risk. This study employed bioinformatics methods for domain search to investigate the pathogenesis and infection process of the EEEV virus P protein. The results demonstrated that the EEEV virus P protein contains domains that…