202. Cortical Topography and Neuronal Response Properties After Face Transplantation

2008 ◽  
Vol 144 (2) ◽  
pp. 266-267
Author(s):  
Kia M. McLean ◽  
Mario G. Solari ◽  
Rami R. Zanoun ◽  
Ebo Kwegyir-Afful ◽  
Anjey Su ◽  
...  
2017 ◽  
Vol 34 (2) ◽  
pp. 108-115 ◽  
Author(s):  
Elham Mohammadi ◽  
Ali Shamsizadeh ◽  
Elham Salari ◽  
Iman Fatemi ◽  
Mohammad Allahtavakoli ◽  
...  

NeuroImage ◽  
2021 ◽  
pp. 118575
Author(s):  
Isma Zulfiqar ◽  
Martin Havlicek ◽  
Michelle Moerel ◽  
Elia Formisano

2019 ◽  
Vol 36 (4) ◽  
pp. 292-297
Author(s):  
Sahar Sistani ◽  
Iman Fatemi ◽  
Seyed Ali Shafeie ◽  
Ayat Kaeidi ◽  
Mahdieh Azin ◽  
...  

2008 ◽  
Vol 99 (2) ◽  
pp. 656-666 ◽  
Author(s):  
Laurent Badel ◽  
Sandrine Lefort ◽  
Romain Brette ◽  
Carl C. H. Petersen ◽  
Wulfram Gerstner ◽  
...  

Neuronal response properties are typically probed by intracellular measurements of current-voltage ( I-V) relationships during application of current or voltage steps. Here we demonstrate the measurement of a novel I-V curve measured while the neuron exhibits a fluctuating voltage and emits spikes. This dynamic I-V curve requires only a few tens of seconds of experimental time and so lends itself readily to the rapid classification of cell type, quantification of heterogeneities in cell populations, and generation of reduced analytical models. We apply this technique to layer-5 pyramidal cells and show that their dynamic I-V curve comprises linear and exponential components, providing experimental evidence for a recently proposed theoretical model. The approach also allows us to determine the change of neuronal response properties after a spike, millisecond by millisecond, so that postspike refractoriness of pyramidal cells can be quantified. Observations of I-V curves during and in absence of refractoriness are cast into a model that is used to predict both the subthreshold response and spiking activity of the neuron to novel stimuli. The predictions of the resulting model are in excellent agreement with experimental data and close to the intrinsic neuronal reproducibility to repeated stimuli.


2018 ◽  
Vol 35 (2) ◽  
pp. 131-138 ◽  
Author(s):  
Narjes Soltani ◽  
Ali Roohbakhsh ◽  
Mohammad Allahtavakoli ◽  
Elham Salari ◽  
Vahid Sheibani ◽  
...  

Author(s):  
Mahin Nasiri ◽  
◽  
Iman Fatemi ◽  
Mahdieh Azin ◽  
Mahboobeh Bannazadeh ◽  
...  

ntroduction: Memantine as N-Methyl-D-aspartic acid (NMDA) receptor antagonist is used in some neurological disorders. It has been reported that memantine has modulatory effects on the somatosensory information processing in healthy subjects. This study investigated the effect of memantine on electrophysiological properties of barrel cortex neurons in male rats. Methods: Single unit recording was used to evaluate the electrophysiological properties of barrel cortex neurons. The neural responses to the principal whisker (PW), adjacent whisker (AW) and combined displacement of two whiskers [20 ms inter-stimulus intervals (ISIs)] were recorded before and 2 hours after memantine gavage (10 mg/kg). A condition test ratio (CTR) was calculated for assessing inhibitory interactions. Results: Two hours after memantine gavage, neuronal ON and OFF responses to PW deflection were decreased. Also, CTR for both ON and OFF responses was decreased following memantine administration. Conclusions: The current study demonstrated that memantine modified neural response properties in the rat barrel cortex.


2018 ◽  
Author(s):  
Philip O’Herron ◽  
John Woodward ◽  
Prakash Kara

AbstractWith the advent of two-photon imaging as a tool for systems neuroscience, the mouse has become a preeminent model system for studying sensory processing. One notable difference that has been found however, between mice and traditional model species like cats and primates is the responsiveness of the cortex. In the primary visual cortex of cats and primates, nearly all neurons respond to simple visual stimuli like drifting gratings. In contrast, imaging studies in mice consistently find that only around half of the neurons respond to such stimuli. Here we show that visual responsiveness is strongly dependent on the cortical depth of neurons. Moving from superficial layer 2 down to layer 4, the percentage of responsive neurons increases dramatically, ultimately reaching levels similar to what is seen in other species. Over this span of cortical depth, neuronal response amplitude also increases and orientation selectivity moderately decreases. These depth dependent response properties may be explained by the distribution of thalamic inputs in mouse V1. Unlike in cats and primates where thalamic projections to the granular layer are constrained to layer 4, in mice they spread up into layer 2/3, qualitatively matching the distribution of response properties we see. These results show that the analysis of neural response properties must take into consideration not only the overall cortical lamina boundaries but also the depth of recorded neurons within each cortical layer. Furthermore, the inability to drive the majority of neurons in superficial layer 2/3 of mouse V1 with grating stimuli indicates that there may be fundamental differences in the role of V1 between rodents and other mammals.


Sign in / Sign up

Export Citation Format

Share Document