State-dependent representation of stimulus-evoked activity in high-density recordings of neural cultures

TY - JOUR

T1 - State-dependent representation of stimulus-evoked activity in high-density recordings of neural cultures

AU - Nieus, Thierry

AU - D'Andrea, Valeria

AU - Amin, Hayder

AU - Di Marco, Stefano

AU - Safaai, Houman

AU - Maccione, Alessandro

AU - Berdondini, Luca

AU - Panzeri, Stefano

PY - 2018/4/3

Y1 - 2018/4/3

N2 - Neuronal responses to external stimuli vary from trial to trial partly because they depend on continuous spontaneous variations of the state of neural circuits, reflected in variations of ongoing activity prior to stimulus presentation. Understanding how post-stimulus responses relate to the pre-stimulus spontaneous activity is thus important to understand how state dependence affects information processing and neural coding, and how state variations can be discounted to better decode single-trial neural responses. Here we exploited high-resolution CMOS electrode arrays to record simultaneously from thousands of electrodes in in-vitro cultures stimulated at specific sites. We used information-theoretic analyses to study how ongoing activity affects the information that neuronal responses carry about the location of the stimuli. We found that responses exhibited state dependence on the time between the last spontaneous burst and the stimulus presentation and that the dependence could be described with a linear model. Importantly, we found that a small number of selected neurons carry most of the stimulus information and contribute to the state-dependent information gain. This suggests that a major value of large-scale recording is that it individuates the small subset of neurons that carry most information and that benefit the most from knowledge of its state dependence.

AB - Neuronal responses to external stimuli vary from trial to trial partly because they depend on continuous spontaneous variations of the state of neural circuits, reflected in variations of ongoing activity prior to stimulus presentation. Understanding how post-stimulus responses relate to the pre-stimulus spontaneous activity is thus important to understand how state dependence affects information processing and neural coding, and how state variations can be discounted to better decode single-trial neural responses. Here we exploited high-resolution CMOS electrode arrays to record simultaneously from thousands of electrodes in in-vitro cultures stimulated at specific sites. We used information-theoretic analyses to study how ongoing activity affects the information that neuronal responses carry about the location of the stimuli. We found that responses exhibited state dependence on the time between the last spontaneous burst and the stimulus presentation and that the dependence could be described with a linear model. Importantly, we found that a small number of selected neurons carry most of the stimulus information and contribute to the state-dependent information gain. This suggests that a major value of large-scale recording is that it individuates the small subset of neurons that carry most information and that benefit the most from knowledge of its state dependence.

KW - Animals

KW - Cells, Cultured

KW - Electric Stimulation

KW - Electrodes

KW - Electrophysiology/instrumentation

KW - Hippocampus/cytology

KW - Linear Models

KW - Metals/chemistry

KW - Neurons/cytology

KW - Norepinephrine/metabolism

KW - Oxides

KW - Rats

KW - Semiconductors

U2 - 10.1038/s41598-018-23853-x

DO - 10.1038/s41598-018-23853-x

M3 - SCORING: Journal article

C2 - 29615719

VL - 8

SP - 5578

JO - SCI REP-UK

JF - SCI REP-UK

SN - 2045-2322

IS - 1

ER -