19 papers · ranked by Valyu relevance
Ahmad El Ferdaoussi, Éric Plourde, Jean Rouat
—The problem of spike encoding of sound consists in transforming a sound waveform into spikes. It is of interest in many domains, including the development of audio-based spiking neural networks, where it is the first and most crucial stage of processing. Many algorithms have been proposed to perform spike encoding of…
Yang Yiling, Katharine Shapcott, Alina Peter, Johanna Klon-Lipok + 3 more
'Huang Xuhui' 'Andreea Lazar' 'Wolf Singer'] Parallel multisite recordings in the visual cortex of trained monkeys revealed that the responses of spatially distributed neurons to natural scenes are ordered in sequences. The rank order of these sequences is stimulus-specific and maintained even if the absolute timing of…
Ryan J. Morrill, James Bigelow, Jefferson DeKloe, Andrea R. Hasenstaub
In everyday behavior, sensory systems are in constant competition for attentional resources, but the cellular and circuit-level mechanisms of modality-selective attention remain largely uninvestigated. We conducted translaminar recordings in mouse auditory cortex (AC) during an audiovisual (AV) attention shifting task.…
Johnson Zhou, Daniel Tanneberg, Forough Habibollahi, Alon Loeffler + 11 more
Biological neural networks (BNNs) have been established as a powerful and adaptive substrate that offer the potential for incredibly energy and data efficient information processing with distinct learning mechanisms. Yet a core challenge to utilizing BNN for neurocomputation is determining the optimal encoding and…
Janet M. Baker, Peter Cariani
Time is essential for understanding the brain. A temporal theory for realizing major brain functions (e.g., sensation, cognition, motivation, attention, memory, learning, and motor action) is proposed that uses temporal codes, time-domain neural networks, correlation-based binding processes and signal dynamics. It…
Adel Halawa, Christopher Dedek, Laura Medlock, Dhekra Al-Basha + 2 more
Adaptation is a common neural phenomenon wherein sustained stimulation evokes fewer action potentials (spikes) over time. Rather than simply reduce firing rate, adaptation may help neurons form better (i.e. more discriminable) representations of sensory input. To study effects of adaptation in low-threshold…
Shuhong Huang, Ruben Portugues, James E. Fitzgerald
The ultimate goal of sensory coding is to extract and represent the cues required for adaptive motor output. This suggests that sensory codes and behavioral outcomes may align, and a variety of studies have argued that both biological and engineered sensory systems represent stimuli similarly when they play similar…
Stephan Pohl, Edgar Y. Walker, David L. Barack, Jennifer Lee + 4 more
'Rachel N. Denison' 'Ned Block' 'Florent Meyniel' 'Wei Ji Ma'] When claiming that a neural response represents a feature of the world, scientists try to establish that the neural response is (1) sensitive and (2) specific to the feature, (3) invariant to other features, and (4) functional downstream in the brain. We…
Luciano Dyballa, Greg D. Field, Michael P. Stryker, Steven W. Zucker
We have created “encoding manifolds” to reveal the overall responses of a brain area to a variety of stimuli. Encoding manifolds organize response properties globally: each point on an encoding manifold is a neuron, and nearby neurons respond similarly to the stimulus ensemble in time. We previously found, using a…
Yifan Yang, David A. Leopold, Jeff H. Duyn, Grayson O. Sipe + 1 more
The neural encoding of sensory stimuli is subject to the brain’s internal circuit dynamics. Recent work has demonstrated that the resting brain exhibits widespread, coordinated activity that plays out over multisecond timescales in the form of quasi-periodic spiking cascades. Here we demonstrate that these intrinsic…
Filippo Costa, Chiara De Luca
The encoder has low model complexity, relying on a shallow network of heterogeneous neurons. It relies on an internal time reference, allowing for continuous processing. Moreover, stimulus parameters can be linearly decoded from the spiking patterns, granting fast information retrieval. Our approach, validated on both…
Peter Cariani, Janet M. Baker
Here we present evidence for the ubiquity of fine spike timing and temporal coding broadly observed across sensory systems and widely conserved across diverse phyla, spanning invertebrates and vertebrates. A taxonomy of basic neural coding types includes channel activation patterns, temporal patterns of spikes, and…
Xing Gao, Dazhong Rong, Qinming He
Investigating the mapping between visual stimuli and neural responses in the visual cortex contributes to a deeper understanding of biological visual processing mechanisms. Most existing studies characterize this mapping by training models to directly encode visual stimuli into neural responses or decode neural…
Ben D. B. Willmore, Andrew J. King
Efficient coding is the general principle that sensory systems in the brain optimize their responses and representations to maximize use of the available neuronal resources, subject to relevant constraints (44, 145). The dynamic range adaptation described above can be considered in these terms: neurons adapt their…
Pavithraa Seenivasan, Rishikesh Narayanan
Efficient information coding (EIC) is a universal biological framework rooted in the fundamental principle that system responses should match their natural stimulus statistics for maximizing environmental information. Quantitatively assessed through information theory, such adaptation to the environment occurs at all…
Samuele Virgili
While a great deal is known about the way the retina processes simple stimuli, our understanding of how the retina processes natural stimuli is still limited. Here we highlight some of the challenges that remain to be addressed to understand retinal processing of natural stimuli and describe emerging research avenues…
Tiberiu Tesileanu, Eugenio Piasini, Vijay Balasubramanian
Neural circuits in the periphery of the visual, auditory, and olfactory systems are believed to use limited resources efficiently to represent sensory information by adapting to the statistical structure of the natural environment. This “efficient coding” principle has been used to explain many aspects of early visual…
Ji Liu, Patrick O. Kanold
Predictive coding theory postulates that the brain achieves perception by actively making predictions about the incoming sensory information and correcting them if errors signals arise. These signals are likely the most relevant when the individual is actively interacting with the environment and where the sensory…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…