16 papers · ranked by Valyu relevance
Lucas A. T. X. Carneiro, Armand D. Jiofack, Fernando F. Ferreira
Polychronous Neuronal Groups (PNGs) reproducible, time-locked spatiotemporal firing cascades stabilised by Spike-Timing-Dependent Plasticity (STDP) and heterogeneous axonal delays provide a combinatorially rich substrate for neural computation whose structural determinants remain poorly understood. We simulate a…
Runchun M. Wang, Tara J. Hamilton, Jonathan C. Tapson, André van Schaik
'André van Schaik'] We present a mixed-signal implementation of a re-configurable polychronous spiking neural network capable of storing and recalling spatio-temporal patterns. The proposed neural network contains one neuron array and one axon array. Spike Timing Dependent Delay Plasticity is used to fine-tune delays…
Runchun Wang, Gregory Cohen, Klaus M. Stiefel, Tara Julia Hamilton + 2 more
'Jonathan Tapson' 'André van Schaik'] We present an FPGA implementation of a re-configurable, polychronous spiking neural network with a large capacity for spatial-temporal patterns. The proposed neural network generates delay paths de novo, so that only connections that actually appear in the training patterns will be…
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…
James B. Isbister, Akihiro Eguchi, Nasir Ahmad, Juan M. Galeazzi + 2 more
'Mark J. Buckley' 'Simon Stringer'] We discuss a recently proposed approach to solve the classic feature-binding problem in primate vision that uses neural dynamics known to be present within the visual cortex. Broadly, the feature-binding problem in the visual context concerns not only how a hierarchy of features such…
Robin Pauli, Philipp Weidel, Susanne Kunkel, Abigail Morrison
Any modeler who has attempted to reproduce a spiking neural network model from its description in a paper has discovered what a painful endeavor this is. Even when all parameters appear to have been specified, which is rare, typically the initial attempt to reproduce the network does not yield results that are…
Joseph Chrol-Cannon, Yaochu Jin, André Grüning
Polychronous neural groups are effective structures for the recognition of precise spike-timing patterns but the detection method is an inefficient multi-stage brute force process that works off-line on pre-recorded simulation data. This work presents a new model of polychronous patterns that can capture precise…
Zhinus Marzi, João P. Hespanha, Upamanyu Madhow
—There is growing evidence regarding the importance of spike timing in neural information processing, with even a small number of spikes carrying information, but computational models lag significantly behind those for rate coding. Experimental evidence on neuronal behavior is consistent with the dynamical and state…
Irina Higgins, Simon Stringer, Jan Schnupp
The nature of the code used in the auditory cortex to represent complex auditory stimuli, such as naturally spoken words, remains a matter of debate. Here we argue that such representations are encoded by stable spatio-temporal patterns of firing within cell assemblies known as polychronous groups, or PGs. We develop a…
Xin Li
—How do we understand natural intelligence? Inspired by classical embodied cognition and the emerging multimodal interaction, we study the organizational principles of neural systems at three levels (device/implementation, circuit/algorithm, and system/computational) in this survey paper. Our main contributions consist…
Mira Guise, Alistair Knott, Lubica Benuskova
Computational models of metaplasticity have usually focused on the modeling of single synapses (Shouval et al., [24]). In this paper we study the effect of metaplasticity on network behavior. Our guiding assumption is that the primary purpose of metaplasticity is to regulate synaptic plasticity, by increasing it when…
Peter Cariani, Janet M. Baker
Time is of the essence in how neural codes, synchronies, and oscillations might function in encoding, representation, transmission, integration, storage, and retrieval of information in brains. This Hypothesis and Theory article examines observed and possible relations between codes, synchronies, oscillations, and…
Irene Julca, Marina Marcet-Houben, Pablo Vargas, Toni Gabaldón
Polyploidization is one of the major evolutionary processes that shape eukaryotic genomes, being particularly common in plants. Polyploids can arise through direct genome doubling within a species (autopolyploidization) or through the merging of genomes from distinct species after hybridization (allopolyploidization).…
Victor Loegler, Anne Friedrich, Joseph Schacherer
The emergence of graph pangenomes has significantly advanced the study of structural variants (SVs) across diverse species. However, the impact of complex polyploidization events, particularly allopolyploidy, on SV landscapes remains poorly explored. Brettanomyces bruxellensis, a yeast species shaped by multiple…
Authors not listed
Organic polysulfide polymers are highly useful materials with emerging high-value applications as cathode components for Li-S batteries, optics for infrared imaging, sorbents for heavy metal remediation, and novel anti-microbial agents. Despite the increasing use of these sulfur-rich polymers, there are limited methods…
Jasmine Pople, Thomas Nicholls, Le Nhan Pham, Witold Bloch + 6 more
With increasing interest in high sulfur content polymers, there is a need to develop new methods for their synthesis that feature better safety and control of structure. In this report, electrochemically-initiated ring-opening polymerization of norbornene-based cyclic trisulfide monomers delivered well-defined, linear…