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Feedback stabilizes propagation of synchronous spiking in cortical neural networks

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 2015年第8期112卷 2545-2550页

作者： Moldakarimov, Samat Bazhenov, Maxim Sejnowski, Terrence J. Salk Inst Biol Studies Howard Hughes Med Inst La Jolla CA 92037 USA Univ Calif San Diego Inst Neural Computat La Jolla CA 92093 USA Univ Calif Riverside Dept Cell Biol & Neurosci Riverside CA 92521 USA Univ Calif San Diego Div Biol Sci La Jolla CA 92093 USA

Precisely timed action potentials related to stimuli and behavior have been observed in the cerebral cortex. However, information carried by the precise spike timing has to propagate through many cortical areas, and noise could disrupt millisecond precision during the transmission. Previous studies have demonstrated that only strong stimuli that evoke a large number of spikes with small dispersion of spike times can propagate through multilayer networks without degrading the temporal precision. Here we show that feedback projections can increase the number of spikes in spike volleys without degrading their temporal precision. Feedback also increased the range of spike volleys that can propagate through multilayer networks. Our work suggests that feedback projections could be responsible for the reliable propagation of information encoded in spike times through cortex, and thus could serve as an attentional mechanism to regulate the flow of information in the cortex. Feedback projections may also participate in generating spike synchronization that is engaged in cognitive behaviors by the same mechanisms described here for spike propagation.

关键词： neural coding attention cerebral cortex synfire spike timing

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Finding the Brain in the Nose

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ANNUAL REVIEW OF NEUROSCIENCE, VOL 43 2020年第1期43卷 277-295页

作者： Brann, David H. Datta, Sandeep Robert Harvard Med Sch Dept Neurobiol Boston MA 02115 USA

Olfaction is fundamentally distinct from other sensory modalities. Natural odor stimuli are complex mixtures of volatile chemicals that interact in the nose with a receptor array that, in rodents, is built from more than 1,000 unique receptors. These interactions dictate a peripheral olfactory code, which in the brain is transformed and reformatted as it is broadcast across a set of highly interconnected olfactory regions. Here we discuss the problems of characterizing peripheral population codes for olfactory stimuli, of inferring the specific functions of different higher olfactory areas given their extensive recurrence, and of ultimately understanding how odor representations are linked to perception and action. We argue that, despite the differences between olfaction and other sensory modalities, addressing these specific questions will reveal general principles underlying brain function.

关键词： olfaction neural coding sensory representations

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EXPERIMENTAL TEST OF 2 MODELS FOR THE GENERATION OF OBLIQUE SACCADES

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EXPERIMENTAL BRAIN RESEARCH 1985年第2期57卷 321-336页

作者： VANGISBERGEN, JAM VANOPSTAL, AJ SCHOENMAKERS, JJM 1.Department of Medical Physics and Biophysics University of Nijmegen P.O. Box 9101 NL-6500 HB Nijmegen The Netherlands

In this paper, we report a detailed study of the dynamic properties of horizontal, vertical and oblique saccades. These eye movements were measured with an improved version of the double-magnetic induction method in two rhesus monkeys. We found that onsets of orthogonal components of oblique saccades are so well synchronized in the monkey that a common initiation system seems likely. Saccade vectors obeyed a nonlinear peakvelocity/amplitude relationship in all directions. The peak-velocity/duration/amplitude relationship for components was not fixed, but depended on the relative size of the orthogonal component: for a component with a given size, its duration increased and its peak velocity decreased, as the saccade vector to which it contributed turned away from the component direction under consideration. This stretching effect, which reflects a nonlinearity in the system, was negligible for small saccade vectors but became very pronounced in large oblique saccades. These experimental data were confronted with quantitative predictions derived from two different models for the generation of saccades in two dimensions. It appears that a model which assumes the existence of synchronized, but otherwise independent, pulse generators for horizontal and vertical components must be rejected. An alternative model, featuring a nonlinear vectorial pulse generator followed by a decomposition stage which generates component velocity command signals from the vectorial eye velocity signal, provides good fit with the data. According to this common-source model, the two nonlinear phenomena observed, viz., the curvilinear peak-velocity/amplitude relationship of saccades in all directions and component stretching in large oblique saccades, are due to a single nonlinearity in the proposed vectorial pulse generator. A possible neural basis for the common-source model is discussed.

关键词： Oblique saccades Component stretching Nonlinearity neural coding Models

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Qualitatively Different coding of Symbolic and Nonsymbolic Numbers in the Human Brain

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HUMAN BRAIN MAPPING 2015年第2期36卷 475-488页

作者： Lyons, Ian M. Ansari, Daniel Beilock, Sian L. Univ Western Ontario London ON Canada Univ Chicago Chicago IL 60637 USA

Are symbolic and nonsymbolic numbers coded differently in the brain? Neuronal data indicate that overlap in numerical tuning curves is a hallmark of the approximate, analogue nature of nonsymbolic number representation. Consequently, patterns of fMRI activity should be more correlated when the representational overlap between two numbers is relatively high. In bilateral intraparietal sulci (IPS), for nonsymbolic numbers, the pattern of voxelwise correlations between pairs of numbers mirrored the amount of overlap in their tuning curves under the assumption of approximate, analogue coding. In contrast, symbolic numbers showed a flat field of modest correlations more consistent with discrete, categorical representation (no systematic overlap between numbers). Directly correlating activity patterns for a given number across formats (e.g., the numeral 6 with six dots) showed no evidence of shared symbolic and nonsymbolic number-specific representations. Overall (univariate) activity in bilateral IPS was well fit by the log of the number being processed for both nonsymbolic and symbolic numbers. IPS activity is thus sensitive to numerosity regardless of format;however, the nature in which symbolic and nonsymbolic numbers are encoded is fundamentally different. Hum Brain Mapp 36:475-488, 2015. (c) 2014 Wiley Periodicals, Inc.

关键词： approximate number system neural coding number representation representational similarity analysis symbolic representation

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Object decoding with attention in inferior temporal cortex

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PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 2011年第21期108卷 8850-8855页

作者： Zhang, Ying Meyers, Ethan M. Bichot, Narcisse P. Serre, Thomas Poggio, Tomaso A. Desimone, Robert MIT Dept Brain & Cognit Sci McGovern Inst Cambridge MA 02139 USA Brown Univ Dept Cognit Linguist & Psychol Sci Providence RI 02912 USA

Recognizing objects in cluttered scenes requires attentional mechanisms to filter out distracting information. Previous studies have found several physiological correlates of attention in visual cortex, including larger responses for attended objects. However, it has been unclear whether these attention-related changes have a large impact on information about objects at the neural population level. To address this question, we trained monkeys to covertly deploy their visual attention from a central fixation point to one of three objects displayed in the periphery, and we decoded information about the identity and position of the objects from populations of similar to 200 neurons from the inferior temporal cortex using a pattern classifier. The results show that before attention was deployed, information about the identity and position of each object was greatly reduced relative to when these objects were shown in isolation. However, when a monkey attended to an object, the pattern of neural activity, represented as a vector with dimensionality equal to the size of the neural population, was restored toward the vector representing the isolated object. Despite this nearly exclusive representation of the attended object, an increase in the salience of nonattended objects caused "bottom-up" mechanisms to override these "top-down" attentional enhancements. The method described here can be used to assess which attention-related physiological changes are directly related to object recognition, and should be helpful in assessing the role of additional physiological changes in the future.

关键词： macaque vision readout population coding neural coding

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CHEMICALLY STIMULATED FEEDING-BEHAVIOR IN MARINE ANIMALS - IMPORTANCE OF CHEMICAL-MIXTURES AND INVOLVEMENT OF MIXTURE INTERACTIONS

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JOURNAL OF CHEMICAL ECOLOGY 1986年第5期12卷 989-1011页

作者： CARR, WES DERBY, CD UNIV FLORIDA DEPT ZOOL ST AUGUSTINE FL 32086 USA GEORGIA STATE UNIV DEPT BIOL ATLANTA GA 30303 USA

A review is provided of the chemical components in tissue extracts that elicit feeding behavior in marine fish and crustaceans. For most species, the major stimulants of feeding behavior in excitatory extracts are an assemblage of common metabolites of low molecular weight including amino acids, quaternary ammonium compounds, nucleosides and nucleotides, and organic acids. It is often mixtures of substances rather than individual components that account for the stimulatory capacity of a natural extract. Recent studies using a shrimp,Palaemonetes pugio, are described in which behavioral bioassays were conducted with complex synthetic mixtures formulated on the basis of the composition of four tissue extracts. These results indicate that synergistic interactions occur among the mixture components. The neural mechanisms whereby marine crustaceans receive and code information about chemical mixtures are also reviewed. Narrowly tuned receptor cells, excited only by particular components of food extracts such as specific amino acids, nucleotides, quaternary ammonium compounds, and ammonium ions, are common in lobsters and could transmit information about mixtures as a labeled-line code. However, since physiological recordings indicate that most higher-level neurons in the brain each transmit information about many components of mixtures, rather than about a single component, it is suggested that information about a complex food odor is transmitted as an across-fiber pattern, instead of a labeled-line code. Electrophysiological recordings of responses of peripheral and central neurons of lobsters to odor mixtures and their components reveal that suppressive interactions occur, rather than the synergistic interactions noted earlier in the behavioral studies. Possible reasons for these differences are discussed. Evidence from the behavioral study indicates that the “direction” of a mixture interaction can be concentration-dependent and the synergism may occur at low mixture

关键词： Feeding behavior chemoreception mixture interaction synergism suppression neural coding chemical senses crustaceans fish marine animals

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Fractal spike dynamics and neuronal coupling in the primate visual system

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JOURNAL OF PHYSIOLOGY-LONDON 2020年第8期598卷 1551-1571页

作者： Munn, Brandon Zeater, Natalie Pietersen, Alexander N. Solomon, Samuel G. Cheong, Soon Keen Martin, Paul R. Gong, Pulin Univ Sydney Sch Phys Sydney NSW 2006 Australia Univ Sydney Australian Res Council Ctr Excellence Integrat Br Sydney NSW 2006 Australia Univ Sydney Save Sight Inst Eye Hosp Campus8 Macquarie St Sydney NSW 2001 Australia Univ Sydney Discipline Physiol Sydney NSW 2006 Australia UCL Dept Expt Psychol London WC1P 0AH England

Key points We measured fractal (self-similar) fluctuations in ongoing spiking activity in subcortical (lateral geniculate nucleus, LGN) and cortical (area MT) visual areas in anaesthetised marmosets. Cells in the evolutionary ancient koniocellular LGN pathway and in area MT show high-amplitude fractal fluctuations, whereas evolutionarily newer parvocellular and magnocellular LGN cells do not. Spiking activity in koniocellular cells and MT cells shows substantial correlation to the local population activity, whereas activity in parvocellular and magnocellular cells is less correlated with local activity. We develop a model consisting of a fractal process and a global rate modulation which can reproduce and explain the fundamental relationship between fractal fluctuations and population coupling in LGN and MT. The model provides a unified account of apparently disparate aspects of neural spiking activity and can improve our understanding of information processing in evolutionary ancient and modern visual pathways. The brain represents and processes information through patterns of spiking activity, which is influenced by local and widescale brain circuits as well as intrinsic neural dynamics. Whether these influences have independent or linked effects on spiking activity is, however, not known. Here we measured spiking activity in two visual centres, the lateral geniculate nucleus (LGN) and cortical area MT, in marmoset monkeys. By combining the Fano-factor time curve, power spectral analysis and rescaled range analysis, we reveal inherent fractal fluctuations of spiking activity in LGN and MT. We found that the evolutionary ancient koniocellular (K) pathway in LGN and area MT exhibits strong fractal fluctuations at short (<1 s) time scales. Parvocellular (P) and magnocellular (M) LGN cells show weaker fractal fluctuations at longer (multi-second) time scales. In both LGN and MT, the amplitude and time scale of fractal fluctuations can explain short and long time scale

关键词： fractal lateral geniculate nucleus neural coding visual cortex visual system

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Background noise exerts diverse effects on the cortical encoding of foreground sounds

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JOURNAL OF NEUROPHYSIOLOGY 2017年第2期118卷 1034-1054页

作者： Malone, B. J. Heiser, Marc A. Beitel, Ralph E. Schreiner, Christoph E. Univ Calif San Francisco Dept Otolaryngol Head & Neck Surg Coleman Mem Lab 675 Nelson Rising LnRm 535 San Francisco CA 94143 USA Univ Calif Los Angeles Dept Psychiat Div Adolescent & Child Semel Inst Neurosci & Behav Los Angeles CA USA Univ Calif San Francisco Dept Otolaryngol Head & Neck Surg Ctr Integrat Neurosci San Francisco CA USA Univ Calif San Francisco Dept Bioengn San Francisco CA 94143 USA Univ Calif San Francisco Dept Therapeut Sci San Francisco CA 94143 USA Univ Calif San Francisco Dept Physiol San Francisco CA 94143 USA

In natural listening conditions, many sounds must be detected and identified in the context of competing sound sources, which function as background noise. Traditionally, noise is thought to degrade the cortical representation of sounds by suppressing responses and increasing response variability. However, recent studies of neural network models and brain slices have shown that background synaptic noise can improve the detection of signals. Because acoustic noise affects the synaptic background activity of cortical networks, it may improve the cortical responses to signals. We used spike train decoding techniques to determine the functional effects of a continuous white noise background on the responses of clusters of neurons in auditory cortex to foreground signals, specifically frequency-modulated sweeps (FMs) of different velocities, directions, and amplitudes. Whereas the addition of noise progressively suppressed the FM responses of some cortical sites in the core fields with decreasing signal-to-noise ratios (SNRs), the stimulus representation remained robust or was even significantly enhanced at specific SNRs in many others. Even though the background noise level was typically not explicitly encoded in cortical responses, significant information about noise context could be decoded from cortical responses on the basis of how the neural representation of the foreground sweeps was affected. These findings demonstrate significant diversity in signal in noise processing even within the core auditory fields that could support noise-robust hearing across a wide range of listening conditions. NEW & NOTEWORTHY The ability to detect and discriminate sounds in background noise is critical for our ability to communicate. The neural basis of robust perceptual performance in noise is not well understood. We identified neuronal populations in core auditory cortex of squirrel monkeys that differ in how they process foreground signals in background noise and that may contrib

关键词： auditory cortex hearing neural coding noise

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Central signals rapidly switch tactile processing in rat barrel cortex during whisker movements

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CEREBRAL CORTEX 2006年第8期16卷 1142-1156页

作者： Hentschke, Harald Haiss, Florent Schwarz, Cornelius Univ Tubingen Hertie Inst Klin Hirnforsch Abt Kognit Neurol Dept Cognit Neurol D-72076 Tubingen Germany Univ Tubingen Dept Anaesthesiol Sect Expt Anaesthesiol D-72076 Tubingen Germany

Palpatory movements ('active' touch) are an integral part of tactile sensing. It is known that tactile signals can be modulated in certain behavioral contexts, but it is still unresolved to what degree this modulation is related to movement kinematics and whether it stems from tactile receptors or from central sources. Using awake, head-fixed rats, trained to contact an object, we measured trajectories of muscle-propelled whisker movement precisely and compared tactile responses to contacts thus accomplished with 'passive' contacts (motionless whisker contacted by object). Multielectrode extracellular recordings in deep layers of barrel cortex revealed that when the animals moved their whiskers actively, tactile processing switched from high response amplitudes, wide cortical representation and low background firing, to low response amplitudes, narrow spatial representation and elevated background firing. Switching was fast (< 100 ms) and unrelated to the degree of alertness as assessed by spectral analysis of pre-contact field potentials. Switching persisted when information about whisker kinematics was interrupted by transection of the infraorbital nerve and contacts were mimicked by peripheral electrical stimulation. Taken together, these characteristics render central signals derived from the motor system a likely contributor to the processing of active touch.

关键词： active sensing neural coding primary somatosensory cortex sensorimotor integration vibrissae whisking

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A machine learning approach to characterize sequential movement-related states in premotor and motor cortices

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JOURNAL OF NEUROPHYSIOLOGY 2022年第5期127卷 1348-1362页

作者： DePass, Michael Falaki, Ali Quessy, Stephan Dancause, Numa Cos, Ignasi Univ Barcelona Fac Matemat & Informat Dept Matemat & Informat Barcelona Spain Univ Montreal Fac Med Dept Neurosci Montreal PQ Canada Univ Montreal Ctr Interdisciplinaire Rech Sur Cerveau & Apprent Montreal PQ Canada Serra Hunter Res Programme Barcelona Spain

Nonhuman primate (NHP) movement kinematics have been decoded from spikes and local field potentials (LFPs) recorded during motor tasks. However, the potential of LFPs to provide network-like characterizations of neural dynamics during planning and execution of sequential movements requires further exploration. Is the aggregate nature of LFPs suitable to construct informative brain state descriptors of movement preparation and execution? To investigate this, we developed a framework to process LFPs based on machine-learning classifiers and analyzed LFP from a primate, implanted with several microelectrode arrays covering the premotor cortex in both hemispheres and the primary motor cortex on one side. The monkey performed a reachto-grasp task, consisting of five consecutive states, starting from rest until a rewarding target (food) was attained. We use this five-state task to characterize neural activity within eight frequency bands, using spectral amplitude and pairwise correlations across electrodes as features. Our results show that we could best distinguish all five movement-related states using the highest frequency band (200-500 Hz), yielding an 87% accuracy with spectral amplitude, and 60% with pairwise electrode correlation. Further analyses characterized each movement-related state, showing differential neuronal population activity at above-gamma frequencies during the various stages of movement. Furthermore, the topological distribution for the high-frequency LFPs allowed for a highly significant set of pairwise correlations, strongly suggesting a concerted distribution of movement planning and execution function is distributed across premotor and primary motor cortices in a specific fashion, and is most significant in the low ripple (100-150 Hz), high ripple (150-200 Hz), and multiunit frequency bands. In summary, our results show that the concerted use of novel machine-learning techniques with coarse grained queue broad signals such as LFPs may be success

关键词： brain-computer interfaces local field potentials motor control movement decoding neural coding

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