In vivo electrophysiology

Author(s):  
Mohammad M. Aria
2019 ◽  
Vol 24 (2) ◽  
pp. 37 ◽  
Author(s):  
Santiago Boari ◽  
Gonzalo Uribarri ◽  
Ana Amador ◽  
Gabriel Mindlin

The study of large arrays of coupled excitable systems has largely benefited from a technique proposed by Ott and Antonsen, which results in a low dimensional system of equations for the system’s order parameter. In this work, we show how to explicitly introduce a variable describing the global synaptic activation of the network into these family of models. This global variable is built by adding realistic synaptic time traces. We propose that this variable can, under certain conditions, be a good proxy for the local field potential of the network. We report experimental, in vivo, electrophysiology data supporting this claim.


2020 ◽  
Vol 30 (8) ◽  
pp. 4662-4676
Author(s):  
Kevin J Monk ◽  
Simon Allard ◽  
Marshall G Hussain Shuler

Abstract The primary sensory cortex has historically been studied as a low-level feature detector, but has more recently been implicated in many higher-level cognitive functions. For instance, after an animal learns that a light predicts water at a fixed delay, neurons in the primary visual cortex (V1) can produce “reward timing activity” (i.e., spike modulation of various forms that relate the interval between the visual stimulus and expected reward). Local manipulations to V1 implicate it as a site of learning reward timing activity (as opposed to simply reporting timing information from another region via feedback input). However, the manner by which V1 then produces these representations is unknown. Here, we combine behavior, in vivo electrophysiology, and optogenetics to investigate the characteristics of and circuit mechanisms underlying V1 reward timing in the head-fixed mouse. We find that reward timing activity is present in mouse V1, that inhibitory interneurons participate in reward timing, and that these representations are consistent with a theorized network architecture. Together, these results deepen our understanding of V1 reward timing and the manner by which it is produced.


2016 ◽  
Vol 163 ◽  
pp. 258-266 ◽  
Author(s):  
Alister U. Nicol ◽  
Nicholas Perentos ◽  
Amadeu Q. Martins ◽  
A. Jennifer Morton

1995 ◽  
Vol 34 (10) ◽  
pp. 1311-1326 ◽  
Author(s):  
V. Hadrava ◽  
P. Blier ◽  
T. Dennis ◽  
C. Ortemann ◽  
C. De Montigny

2001 ◽  
Vol 50 (7) ◽  
pp. 510-520 ◽  
Author(s):  
Gavin S Dawe ◽  
Keith D Huff ◽  
Jim L Vandergriff ◽  
Trevor Sharp ◽  
Michael J O’Neill ◽  
...  

2011 ◽  
Vol 34 (11) ◽  
pp. 1747-1755 ◽  
Author(s):  
Gunnar Flik ◽  
Eliyahu Dremencov ◽  
Thomas I. H. F. Cremers ◽  
Joost H. A. Folgering ◽  
Ben H. C. Westerink

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Magdalena Solyga ◽  
Tania Rinaldi Barkat

Offset responses in auditory processing appear after a sound terminates. They arise in neuronal circuits within the peripheral auditory system, but their role in the central auditory system remains unknown. Here, we ask what the behavioral relevance of cortical offset responses is and what circuit mechanisms drive them. At the perceptual level, our results reveal that experimentally minimizing auditory cortical offset responses decreases the mouse performance to detect sound termination, assigning a behavioral role to offset responses. By combining in vivo electrophysiology in the auditory cortex and thalamus of awake mice, we also demonstrate that cortical offset responses are not only inherited from the periphery but also amplified and generated de novo. Finally, we show that offset responses code more than silence, including relevant changes in sound trajectories. Together, our results reveal the importance of cortical offset responses in encoding sound termination and detecting changes within temporally discontinuous sounds crucial for speech and vocalization.


Author(s):  
Laura A. Alba ◽  
Elizabeth Baker ◽  
Katherine K. M. Stavropoulos

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