20 papers · ranked by Valyu relevance
Andreea Lazar, Chris Lewis, Pascal Fries, Wolf Singer + 1 more
Sensory exposure alters the response properties of individual neurons in primary sensory cortices. However, it remains unclear how these changes affect stimulus encoding by populations of sensory cells. Here, recording from populations of neurons in cat primary visual cortex, we demonstrate that visual exposure…
Carina Curto, Vladimir Itskov, Katherine M. Morrison, Z Roth + 1 more
'Judy L. Walker'] Shannon's seminal 1948 work gave rise to two distinct areas of research: information theory and mathematical coding theory. While information theory has had a strong influence on theoretical neuroscience, ideas from mathematical coding theory have received considerably less attention. Here we take a…
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…
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…
Nikolaus Kriegeskorte, Xue-Xin Wei
A central goal of neuroscience is to understand the representations formed by brain activity patterns and their connection to behavior. The classical approach is to investigate how individual neurons encode the stimuli and how their tuning determines the fidelity of the neural representation. Tuning analyses often use…
Nikolaus Kriegeskorte, Pamela K. Douglas
Encoding and decoding models are widely used in systems, cognitive, and computational neuroscience to make sense of brain-activity data. However, the interpretation of their results requires care. Decoding models can help reveal whether particular information is present in a brain region in a format the decoder can…
Anna Cattani, Gaute T. Einevoll, Stefano Panzeri
The phase-of-firing code is a neural coding scheme whereby neurons encode information using the time at which they fire spikes within a cycle of the ongoing oscillatory pattern of network activity. This coding scheme may allow neurons to use their temporal pattern of spikes to encode information that is not encoded in…
Christoph Kayser, Robin A. A. Ince, Stefano Panzeri, Tim Behrens
While sensory neurons carry behaviorally relevant information in responses that often extend over hundreds of milliseconds, the key units of neural information likely consist of much shorter and temporally precise spike patterns. The mechanisms and temporal reference frames by which sensory networks partition responses…
Klaus Wimmer, K. Jannis Hildebrandt, R. Matthias Hennig, Klaus Obermayer + 1 more
'Klaus Obermayer' 'Peter E. Latham'] Sensory systems adapt their neural code to changes in the sensory environment, often on multiple time scales. Here, we report a new form of adaptation in a first-order auditory interneuron (AN2) of crickets. We characterize the response of the AN2 neuron to amplitude-modulated sound…
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…
Angel Lareo, Caroline G. Forlim, Reynaldo D. Pinto, Pablo Varona + 1 more
Closed-loop activity-dependent stimulation is a powerful methodology to assess information processing in biological systems. In this context, the development of novel protocols, their implementation in bioinformatics toolboxes and their application to different description levels open up a wide range of possibilities…
Arthur Prat-Carrabin, Michael Woodford
Perception, in theoretical neuroscience, has been modeled as the encoding of external stimuli into internal signals, which are then decoded. The Bayesian mean is an important decoder, as it is optimal for purposes of both estimation and discrimination. We present widely-applicable approximations to the bias and to the…
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…
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…
Romain Brette
“Neural coding” is a popular metaphor in neuroscience, where objective properties of the world are communicated to the brain in the form of spikes. Here I argue that this metaphor is often inappropriate and misleading. First, when neurons are said to encode experimental parameters, the implied communication channel…
Kevin K. W. Ng, Christoffer Olausson, Richard M. Vickery, Ingvars Birznieks
We have described a novel temporal encoding mechanism in the somatosensory system, where tactile pulses grouped into periodic bursts create a perceived frequency based on the duration of the silent gap between bursts, rather than the mean rate or the periodicity. This coding strategy may offer new opportunities for…
Hugo Gabriel Eyherabide
Understanding brain function, constructing computational models and engineering neural prosthetics require assessing two problems, namely encoding and decoding, but their relation remains controversial. For decades, the encoding problem has been shown to provide insight into the decoding problem, for example, by upper…
Jason Hays, Fabian A. Soto
The use of population encoding models has come to dominate the study of human visual neuroscience, serving as a primary tool for making inferences about neural code changes based on indirect measurements. A popular approach in computational neuroimaging is to use such models to obtain estimates of neural population…
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…
Authors not listed
Stimulus-responsive control of intermolecular interactions in multicomponent systems is a grand challenge in supramolecular chemistry and materials science. Herein, we demonstrate a stimulus-responsive miscibility switching in a two-component material composed of a functional molecular liquid (FML) and a pillar[5]arene…