Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–10 of 10 results
Advanced filters: Author: Christian K Machens Clear advanced filters

  • Sensory systems compress representations while preserving information. Modeling of dopamine neuron responses and behavior during decision-making indicates that cognitive systems also compress representations as long as overall rewards are preserved.

    • Asma Motiwala
    • Sofia Soares
    • Christian K. Machens
    Research
    Nature Neuroscience
    Volume: 25, P: 738-748

  • How cortical areas interact via feedforward and feedback signaling remains unclear. Here, the authors recorded from V1 and V2/V4 in macaque visual cortex and found that feedforward and feedback interactions vary with stimulus drive and involve different neuronal population activity patterns.

    • João D. Semedo
    • Anna I. Jasper
    • Byron M. Yu
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-14

  • A dimensionality reduction framework, delayed latents across groups (DLAG), is proposed for disentangling the concurrent flow of signals between populations of neurons. DLAG reveals bidirectional communication between visual cortical areas.

    • Evren Gokcen
    • Anna I. Jasper
    • Byron M. Yu
    Research
    Nature Computational Science
    Volume: 2, P: 512-525

  • Work reported in this issue has derived the long-sought analytical link between neural readout weights and choice signals in the standard model of perceptual decision making. This fresh perspective opens the door to experimental assessments of percept formation from the activity of sensory neurons.

    • Adrien Wohrer
    • Christian K Machens
    News & Views
    Nature Neuroscience
    Volume: 16, P: 112-113

  • Motor cortical neurons enable performance of a wide range of movements. Here, the authors report that dominant population activity patterns, the neural modes, are largely preserved across various tasks, with many displaying consistent temporal dynamics and reliably mapping onto muscle activity.

    • Juan A. Gallego
    • Matthew G. Perich
    • Lee E. Miller
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-13

  • Pigmented cells in the skin of cuttlefish can contract or relax to produce different skin-colour patterns. Tracking the dynamics of these cells reveals how this display system develops, and how it is controlled.

    • Adrien Jouary
    • Christian K. Machens
    News & Views
    Nature
    Volume: 562, P: 350-351

  • Experiments in mice show that direct- and indirect-pathway neurons in the basal ganglia are co-activated during movement but exhibit opposite patterns of activity during the active suppression of movement.

    • Bruno F. Cruz
    • Gonçalo Guiomar
    • Joseph J. Paton
    Research
    Nature
    Volume: 607, P: 521-526

  • This study uses computational modeling of the interaction between two optic-flow processing neurons (Vi and H1) in the fly to examine the effect of synaptic coupling on stimulus processing. Analysis by a generative model shows that coupling enhances encoding of optic-flow in Vi such that the information per spike is maximized.

    • Franz Weber
    • Christian K. Machens
    • Alexander Borst
    Research
    Nature Neuroscience
    Volume: 15, P: 441-448

  • Despite representing a minority of cortical cells, inhibitory neurons deeply shape cortical responses. Inhibitory currents closely track excitatory currents, opening only brief windows of opportunity for a neuron to fire. This explains the variability of cortical spike trains, but may also, paradoxically, render a spiking network maximally efficient and precise.

    • Sophie Denève
    • Christian K Machens
    Reviews
    Nature Neuroscience
    Volume: 19, P: 375-382