200 research outputs found
Role of the hippocampus in goal representation : Insights from behavioural and electrophysiological approaches
No full textThe hippocampus plays an important role in spatial cognition, as supported by the location-specific firing of hippocampal place cells. In random foraging tasks, each place cell fires at a specific position (‘place field’) while other hippocampal pyramidal neurons remain silent. A recent study evidenced a reliable extra-field activity in most CA1 place cells of rats waiting for reward delivery in an uncued goal zone. While the location-specific activity of place cells is thought to underlie a flexible representation of space, the nature of this goal-related signal remains unclear. To test whether hippocampal goal-related activity reflects a representation of goal location or a reward-related signal, we designed a two-goal navigation task in which rats were free to choose between two uncued spatial goals to receive a reward. The magnitude of reward associated to each goal zone was modulated, therefore changing the goal value. We recorded CA1 and CA3 unit activity from rats performing this task. Behaviourally, rats were able to remember each goal location and flexibly adapt their choices to goal values. Electrophysiological data showed that a large majority of CA1-CA3 place and silent cells expressed goal-related activity. This activity was independent from goal value and rats’ behavioural choices. Importantly, a large proportion of cells expressed a goal-related activity at one goal zone only. Altogether, our findings suggest that the hippocampus processes and stores relevant information about the spatial characteristics of the goal. This goal representation could be used in cooperation with structures involved in decision-making to optimise goal-directed navigation
The Vertical Position of Visual Information Conditions Spatial Memory Performance in Healthy Aging
No full textContains data and analysis scripts for: Durteste, M., Van Poucke, L., Combariza, S., Benziane, B., Sahel, J-A., Ramanoël, S. & Arleo, A. The Vertical Position of Visual Information Conditions Spatial Memory Performance in Healthy Aging. Communications Psychology (2023
How synaptic release probability shapes neuronal transmission : information-theoretic analysis in a cerebellar granule cell
No full textA nerve cell receives multiple inputs from upstream neurons by way of its synapses. Neuron processing functions are thus influenced by changes in the biophysical properties of the synapse, such as long-term potentiation (LTP) or depression (LTD). This observation has opened new perspectives on the biophysical basis of learning and memory, but its quantitative impact on the information transmission of a neuron remains partially elucidated. One major obstacle is the high dimensionality of the neuronal input-output space, which makes it unfeasible to perform a thorough computational analysis of a neuron with multiple synaptic inputs. In this work, information theory was employed to characterize the information transmission of a cerebellar granule cell over a region of its excitatory input space following synaptic changes. Granule cells have a small dendritic tree (on average, they receive only four mossy fiber afferents), which greatly bounds the input combinatorial space, reducing the complexity of information-theoretic calculations. Numerical simulations and LTP experiments quantified how changes in neurotransmitter release probability (p) modulated information transmission of a cerebellar granule cell. Numerical simulations showed that p shaped the neurotransmission landscape in unexpected ways. As p increased, the optimality of the information transmission of most stimuli did not increase strictly monotonically; instead it reached a plateau at intermediate p levels. Furthermore, our results showed that the spatiotemporal characteristics of the inputs determine the effect of p on neurotransmission, thus permitting the selection of distinctive preferred stimuli for different p values. These selective mechanisms may have important consequences on the encoding of cerebellar mossy fiber inputs and the plasticity and computation at the next circuit stage, including the parallel fiber-Purkinje cell synapses
Landmark-based spatial navigation across the human lifespan
No full textThis dataset is associated with the scientific article presented in:
Marcia Bécu, Denis Sheynikhovich, Stephen Ramanoël, Guillaume Tatur, Anthony Ozier-Lafontaine, Colas N Authié, José-Alain Sahel, Angelo Arleo (2023) Landmark-based spatial navigation across the human lifespan eLife 12:e81318.
https://elifesciences.org/articles/8131
A continuous attractor network model without recurrent excitation: maintenance and integration in the head direction cell system.
No full textMotivated by experimental observations of the head direction system, we study a three population network model that operates as a continuous attractor network. This network is able to store in a short-term memory an angular variable (the head direction) as a spatial profile of activity across neurons in the absence of selective external inputs, and to accurately update this variable on the basis of angular velocity inputs. The network is composed of one excitatory population and two inhibitory populations, with inter-connections between populations but no connections within the neurons of a same population. In particular, there are no excitatory-to-excitatory connections. Angular velocity signals are represented as inputs in one inhibitory population (clockwise turns) or the other (counterclockwise turns). The system is studied using a combination of analytical and numerical methods. Analysis of a simplified model composed of threshold-linear neurons gives the conditions on the connectivity for (i) the emergence of the spatially selective profile, (ii) reliable integration of angular velocity inputs, and (iii) the range of angular velocities that can be accurately integrated by the model. Numerical simulations allow us to study the proposed scenario in a large network of spiking neurons and compare their dynamics with that of head direction cells recorded in the rat limbic system. In particular, we show that the directional representation encoded by the attractor network can be rapidly updated by external cues, consistent with the very short update latencies observed experimentally by Zugaro et al. (2003) in thalamic head direction cells
Factorizing the motion sensitivity function into equivalent input noise and calculation efficiency
No full textInternational audienceThe photopic motion sensitivity function of the energy-based motion system is band-pass peaking around 8 Hz. Using an external noise paradigm to factorize the sensitivity into equivalent input noise and calculation efficiency, the present study investigated if the variation in photopic motion sensitivity as a function of the temporal frequency is due to a variation of equivalent input noise (e.g., early temporal filtering) or calculation efficiency (ability to select and integrate motion). For various temporal frequencies, contrast thresholds for a direction discrimination task were measured in presence and absence of noise. Up to 15 Hz, the sensitivity variation was mainly due to a variation of equivalent input noise and little variation in calculation efficiency was observed. The sensitivity fall-off at very high temporal frequencies (from 15 to 30 Hz) was due to a combination of a drop of calculation efficiency and a rise of equivalent input noise. A control experiment in which an artificial temporal integration was applied to the stimulus showed that an early temporal filter (generally assumed to affect equivalent input noise, not calculation efficiency) could impair both the calculation efficiency and equivalent input noise at very high temporal frequencies. We conclude that at the photopic luminance intensity tested, the variation of motion sensitivity as a function of the temporal frequency was mainly due to early temporal filtering, not to the ability to select and integrate motion. More specifically, we conclude that photopic motion sensitivity at high temporal frequencies is limited by internal noise occurring after the transduction process (i.e., neural noise), not by quantal noise resulting from the probabilistic absorption of photons by the photoreceptors as previously suggested
Bases cérébrales de l'orientation spatiale/ Brain basis of spatial orientation
No full textSéminaire organisé par Sidney I. Wienev, Jeffrey Taube et Alain Berlioz du 12 au 17 septembre 2002. Participants Angelo Arleo (CNRS, Collège de France, Paris), Joshua Bassett (Dartmouth College, Hanover, USA), Daniel Bennequin (Université Paris VII, Paris), Alain Berthoz (CNRS, Collège de France, Paris), Pierre Bessière (INRIA, CNRS, lontbounot), Hugh Blair (UCLA, Los Angeles, California, USA), Nicolas Brunel (CNRS, Université Paris V, Paris), Francis Colas (Institut National Polytechnique ..
The role of dopamine in long-term plasticity in the rat prefrontal cortex: a computational model
No full textHybrid biophysical model of invasive electrical neural recordings : focus on chronic implants in the peripheral nervous system
No full textDans ce projet nous nous intéresserons à la création d’un nouveau modèle permettant de simuler des enregistrements extracellulaires de l’activité électrique neurale dans le système nerveux périphérique. Ce modèle fut développé pour permettre une meilleure compréhension de l’impact des différentes propriétés des interfaces sur la qualité des signaux recueillis. Ce projet fut en particulier conduit pour répondre au contexte actuel qui voit le développement de nombreuses applications dans le domaine des neuro-prothèses et autres interfaces neurales à but biomédical. Nos intentions étaient de fournir un nouvel outil permettant de mieux comprendre les particularités des interfaces existantes ou d’aider à leur amélioration et à la planification de futures innovations. Ce modèle est construit comme la synthèse de la compréhension actuelle des différents rouages biophysiques impactant les enregistrements. Sa structure peut être perçue comme l’assemblage de différents sous-systèmes interconnectés et représentant chacun une dimension du processus. Il s’avère particulièrement efficace pour l’analyse comparative des performances entre diffèrent types/géométries d’électrodes invasives. Dans ce document, nous nous efforcerons d’expliquer en détail la structure et les paramètres de notre modèle. Nous décrirons ensuite les différents tests que nous avons entrepris pour sa validation expérimentale, ainsi que les différentes voies d’applications que nous avons commencé à explorer. Nous finirons par décrire les améliorations qui nous sont apparues comme nécessaires ou possibles et par une discussion sur les ouvertures futures offerte à ce domaine de recherche.Neural interfaces are becoming a newly dynamic and promising field especially thanks to the numerous applications they could have in the biomedical domain. A great deal of these applications requires a monitoring of targeted neural activity. Among the different technologies available for such recording practice, chronic electrodes implanted in the peripheral nervous system offer a good compromise on the resolution versus invasiveness technological constraint. A large array of electrodes has been developed in this intention but there is still only a limited comprehension of their recording principles and weakness. This makes difficult any targeted improvement of the electrodes and led this field to be mainly dominated by a trial and error empirical approach simultaneously costly in funds, animal lives and time. In particular, intrafascicular electrodes, while providing exiting results for stimulation, have often failed in recordings. These electrodes typically show interesting recording performance right after implantation but have rapid decline of their efficacy up to the points that they often become useless after a few weeks. Such performance proves problematic as they drastically limit the transfer of experimental results to human applications. The extent of our work has been the development of a theoretical framework for the study of implantable electrodes. Our goal here has been to construct a model that could be used as a platform to better understand implanted electrode and compare their performance and possible improvement. We focused our work on intrafascicular electrode for the peripheral nervous system. However, our procedure could easily be applied to other type of interface. During this project we first constructed a detailed model of the recording biophysical process happening at the peripheral nerve electrical interface. This model encompasses all the mechanism known to influence the quality and shape of neural activity recordings. We have then recreated within our model specific controlled experiments and by comparing the properties of the simulated recording with their experimental counterparts demonstrated the potency of our approach to produce bio-plausible signals. This validated our model as an in silico alternative to compare and test electrodes. We then further developed this model to also simulate some of the changes happening in the nerve post implantation. In particular, we found that the growth of the fibrotic scar could already explain a large part of the signal degradation happening in the first weeks. Then to demonstrate the adaptability of this model we used it to compare the performance of the main type of electrodes implanted nowadays peripherally. Finally, as the main weakness of our model relied in its relative complexity and the related long computing time, we started to analyze how this model could be simplified without losing the precision necessary for the intended applications. In conclusion, this project led to the creation of a model which in its current form can be used as an in silico platform to test and compare electrodes. This will facilitate the planning and development of future peripheral neural interface by proving both more economical and informative that current strategies. Conjointly, we opened the way to future improvement of our model, leading to more practicality
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