scholarly journals A distributed neural code in the dentate gyrus and in CA1

2018 ◽  
Author(s):  
Fabio Stefanini ◽  
Mazen A. Kheirbek ◽  
Lyudmila Kushnir ◽  
Jessica Jimenez ◽  
Joshua H. Jennings ◽  
...  

ABSTRACTThe tuning properties of neurons in a given brain region have been traditionally viewed as the under-pinnings of computation in neural circuits. However, at the higher levels of processing, specialization is often elusive, instead a mix of sensory, cognitive and behavioural quantities drive neural activity. In such networks, ensembles of neurons, rather than single units with easily interpretable tuning properties, encode behaviourally relevant variables. Here we show that this is the case also in the dentate gyrus and CA1 subregions of the hippocampus. Using calcium imaging in freely moving mice, we decoded the instantaneous position, direction of motion and speed from the activity of hundreds of cells in the hippocampus of mice freely exploring an arena. For the vast majority of neurons in both regions, their response properties were not predictive of their importance for encoding position. Furthermore, we could decode position from populations of cells that were important for decoding direction of motion and vice versa, showing that these quantities are encoded by largely overlapping ensembles as in distributed neural code. Finally, we found that correlated activities had an impact on decoding performance in CA1 but not in dentate gyrus, suggesting different enconding strategies for these areas. Our analysis indicates that classical methods of analysis based on single cell response properties might be insufficient to accurately characterize the neural computation in a given area. In contrast, population analysis may help highlight previously overlooked properties of hippocampal circuits.

2013 ◽  
Author(s):  
Frederick B. Shipley ◽  
Christopher M. Clark ◽  
Mark J. Alkema ◽  
Andrew M. Leifer

A fundamental goal of systems neuroscience is to probe the dynamics of neural activity that drive behavior. Here we present an instrument to simultaneously manipulate neural activity via Channelrhodopsin, monitor neural response via GCaMP3, and observes behavior in freely moving C. elegans. We use the instrument to directly observe the relation between sensory stimuli, interneuron activity and locomotion in the mechanosensory circuit. Now published as: Front Neural Circuits 8:28, doi:10.3389/fncir.2014.00028


2021 ◽  
Author(s):  
Haiwen Li ◽  
Fan Feng ◽  
Muyue Zhai ◽  
Jia Zhi Zhang ◽  
Jingyuan Jiang ◽  
...  

Hippocampus ◽  
2006 ◽  
Vol 16 (2) ◽  
pp. 149-160 ◽  
Author(s):  
Gemma I. Irvine ◽  
Barbara Logan ◽  
Michael Eckert ◽  
Wickliffe C. Abraham

2016 ◽  
Vol 26 (4) ◽  
pp. 536-541 ◽  
Author(s):  
Maria Diamantaki ◽  
Markus Frey ◽  
Patricia Preston-Ferrer ◽  
Andrea Burgalossi

2003 ◽  
Vol 44 (1) ◽  
pp. 17-25 ◽  
Author(s):  
D. Manahan-Vaughan ◽  
R.T. Ngomba ◽  
M. Storto ◽  
A. Kulla ◽  
M.V. Catania ◽  
...  

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