Functional Architecture of the Rat Parasubiculum
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Grid Cells Are Ubiquitous in Neural Networks
Grid Cells Are Ubiquitous in Neural Networks Songlin Li1†, Yangdong Deng2*†, Zhihua Wang1 1 Department of Microelectronics and Nanoelectronics, Tsinghua University 2 School of Software, Tsinghua University * Corresponding author: Email [email protected] † The two authors contributed equally to this work. Abstract: Grid cells are believed to play an important role in both spatial and non-spatial cognition tasks. A recent study observed the emergence of grid cells in an LSTM for path integration. The connection between biological and artificial neural networks underlying the seemingly similarity, as well as the application domain of grid cells in deep neural networks (DNNs), expect further exploration. This work demonstrated that grid cells could be replicated in either pure vision based or vision guided path integration DNNs for navigation under a proper setting of training parameters. We also show that grid-like behaviors arise in feedforward DNNs for non-spatial tasks. Our findings support that the grid coding is an effective representation for both biological and artificial networks. Introduction: It has been long hypothesized that animals use a “cognitive map”1, namely, an internal knowledge representation to support intelligent behaviors. This proposal was later proved by neuroscience experiments on both spatial2,3 and non-spatial4,5 cognition tasks. Grid cells, which exhibit a spatial periodic firing pattern and thus constitute the hexagonal spatial representation as Fyhn et al has observed2, were discovered in the medial entorhinal cortex (MEC) of rodents2,3. Subsequent studies proposed models to characterize the behavior of grid cells in terms of spike-timing correlations6-8. The discovery of grid cells as well as the fact that different grid cells forms a multi-scale representation inspired the theory of vector-based navigation9. -
Targeted Dorsal Dentate Gyrus Or Whole Brain Irradiation in Juvenile Mice Differently Affects Spatial Memory and Adult Hippocampal Neurogenesis
biology Article Targeted Dorsal Dentate Gyrus or Whole Brain Irradiation in Juvenile Mice Differently Affects Spatial Memory and Adult Hippocampal Neurogenesis Céline Serrano 1, Morgane Dos Santos 2, Dimitri Kereselidze 1, Louison Beugnies 1, Philippe Lestaevel 1, Roseline Poirier 3,*,† and Christelle Durand 1,*,† 1 Laboratory of Experimental Radiotoxicology and Radiobiology (LRTOX), Research Department on the Biological and Health Effects of Ionizing Radiation (SESANE), Institute for Radiological Protection and Nuclear Safety (IRSN), 92260 Fontenay-aux-Roses, France; [email protected] (C.S.); [email protected] (D.K.); [email protected] (L.B.); [email protected] (P.L.) 2 Laboratory of Radiobiology of Accidental Exposure (LRAcc), Research Department in Radiobiology and Regenerative Medicine (SERAMED), Institute for Radiological Protection and Nuclear Safety (IRSN), 92260 Fontenay-aux-Roses, France; [email protected] 3 Paris-Saclay Neuroscience Institute (Neuro-PSI), University Paris-Saclay, UMR 9197 CNRS, F-91405 Orsay, France * Correspondence: [email protected] (R.P.); [email protected] (C.D.) † These authors contribute equally to this work. Simple Summary: The effects of exposure of the juvenile brain to doses of ionizing radiation Citation: Serrano, C.; Dos Santos, M.; (IR) ≤ 2 Gy on cognitive functions in adulthood are not clearly established in humans, and exper- Kereselidze, D.; Beugnies, L.; imental data are scarce. To elucidate how IR can impact the postnatal brain, we evaluated and Lestaevel, P.; Poirier, R.; Durand, C. compared the effect of whole brain (WB) or hippocampal dorsal dentate gyrus (DDG) X-ray exposure Targeted Dorsal Dentate Gyrus or (0.25–2 Gy) on spatial memory, three months after irradiation in mice. -
Lesions of Perirhinal and Parahippocampal Cortex That Spare the Amygdala and Hippocampal Formation Produce Severe Memory Impairment
The Journal of Neuroscience, December 1989, 9(12): 4355-4370 Lesions of Perirhinal and Parahippocampal Cortex That Spare the Amygdala and Hippocampal Formation Produce Severe Memory Impairment Stuart Zola-Morgan,’ Larry Ft. Squire,’ David G. Amaral,2 and Wendy A. Suzuki2J Veterans Administration Medical Center, San Diego, California, 92161, and Department of Psychiatry, University of California, San Diego, La Jolla, California 92093, The Salk Institute, San Diego, California 92136, and 3Group in Neurosciences, University of California, San Diego, La Jolla, California 92093 In monkeys, bilateral damage to the medial temporal region Moss, 1984). (In this notation, H refers to the hippocampus, A produces severe memory impairment. This lesion, which in- to the amygdala, and the plus superscript (+) to the cortical cludes the hippocampal formation, amygdala, and adjacent tissue adjacent to each structure.) This lesion appears to con- cortex, including the parahippocampal gyrus (the H+A+ le- stitute an animal model of medial temporal lobe amnesia like sion), appears to constitute an animal model of human me- that exhibited by the well-studied patient H.M. (Scoville and dial temporal lobe amnesia. Reexamination of histological Milner, 1957). material from previously studied monkeys with H+A+ lesions The H+A+ lesion produces greater memory impairment than indicated that the perirhinal cortex had also sustained sig- a lesion limited to the hippocampal formation and parahip- nificant damage. Furthermore, recent neuroanatomical stud- pocampal cortex-the H+ lesion (Mishkin, 1978; Mahut et al., ies show that the perirhinal cortex and the closely associated 1982; Zola-Morgan and Squire, 1985, 1986; Zola-Morgan et al., parahippocampal cortex provide the major source of cortical 1989a). -
Neuromodulators and Long-Term Synaptic Plasticity in Learning and Memory: a Steered-Glutamatergic Perspective
brain sciences Review Neuromodulators and Long-Term Synaptic Plasticity in Learning and Memory: A Steered-Glutamatergic Perspective Amjad H. Bazzari * and H. Rheinallt Parri School of Life and Health Sciences, Aston University, Birmingham B4 7ET, UK; [email protected] * Correspondence: [email protected]; Tel.: +44-(0)1212044186 Received: 7 October 2019; Accepted: 29 October 2019; Published: 31 October 2019 Abstract: The molecular pathways underlying the induction and maintenance of long-term synaptic plasticity have been extensively investigated revealing various mechanisms by which neurons control their synaptic strength. The dynamic nature of neuronal connections combined with plasticity-mediated long-lasting structural and functional alterations provide valuable insights into neuronal encoding processes as molecular substrates of not only learning and memory but potentially other sensory, motor and behavioural functions that reflect previous experience. However, one key element receiving little attention in the study of synaptic plasticity is the role of neuromodulators, which are known to orchestrate neuronal activity on brain-wide, network and synaptic scales. We aim to review current evidence on the mechanisms by which certain modulators, namely dopamine, acetylcholine, noradrenaline and serotonin, control synaptic plasticity induction through corresponding metabotropic receptors in a pathway-specific manner. Lastly, we propose that neuromodulators control plasticity outcomes through steering glutamatergic transmission, thereby gating its induction and maintenance. Keywords: neuromodulators; synaptic plasticity; learning; memory; LTP; LTD; GPCR; astrocytes 1. Introduction A huge emphasis has been put into discovering the molecular pathways that govern synaptic plasticity induction since it was first discovered [1], which markedly improved our understanding of the functional aspects of plasticity while introducing a surprisingly tremendous complexity due to numerous mechanisms involved despite sharing common “glutamatergic” mediators [2]. -
Marine Vehicles Localization Using Grid Cells for Path Integration
Marine Vehicles Localization Using Grid Cells for Path Integration Ignacio Carluchoa, Manuel F. Baileya, Mariano De Paulab, Corina Barbalataa [email protected], [email protected], mariano.depaula@fio.unicen.edu.ar, [email protected] a Department of Mechanical Engineering, Louisiana State University, Baton Rouge, USA b INTELYMEC Group, Centro de Investigaciones en F´ısica e Ingenier´ıa del Centro CIFICEN – UNICEN – CICpBA – CONICET, 7400 Olavarr´ıa, Argentina Abstract—Autonomous Underwater Vehicles (AUVs) are plat- forms used for research and exploration of marine environments. However, these types of vehicles face many challenges that hinder their widespread use in the industry. One of the main limitations is obtaining accurate position estimation, due to the lack of GPS signal underwater. This estimation is usually done with Kalman filters. However, new developments in the neuroscience field have shed light on the mechanisms by which mammals are able to obtain a reliable estimation of their current position based on external and internal motion cues. A new type of neuron, called Grid cells, has been shown to be part of path integration system in the brain. In this article, we show how grid cells can be used for obtaining a position estimation of underwater vehicles. The model of grid cells used requires only the linear velocities together with heading orientation and provides a reliable estimation of the vehicle’s position. We provide simulation results for an AUV which show the feasibility of our proposed methodology. Index Terms—Grid cells, Navigation, Neuro inspired agents, Autonomous underwater vehicles Fig. 1. A modified BlueROV2 used for experiments I. INTRODUCTION In recent years, the interest in exploring our oceans has that strongly correlates with the animal position in space [5]. -
Position–Theta-Phase Model of Hippocampal Place Cell Activity Applied to Quantification of Running Speed Modulation of Firing Rate
Position–theta-phase model of hippocampal place cell activity applied to quantification of running speed modulation of firing rate Kathryn McClaina,b,1, David Tingleyb, David J. Heegera,c,1, and György Buzsákia,b,1 aCenter for Neural Science, New York University, New York, NY 10003; bNeuroscience Institute, New York University, New York, NY 10016; and cDepartment of Psychology, New York University, New York, NY 10003 Edited by Terrence J. Sejnowski, Salk Institute for Biological Studies, La Jolla, CA, and approved November 18, 2019 (received for review July 24, 2019) Spiking activity of place cells in the hippocampus encodes the Another challenge in understanding this system is the dynamic animal’s position as it moves through an environment. Within a interaction between the rate code and phase code. As these codes cell’s place field, both the firing rate and the phase of spiking in combine, different formats of information are conveyed simulta- the local theta oscillation contain spatial information. We propose a neously in place cell spiking. The interaction can produce unin- – position theta-phase (PTP) model that captures the simultaneous tuitive, although entirely predictable, results in traditional analyses expression of the firing-rate code and theta-phase code in place cell of place cell activity. These practical challenges have hindered the spiking. This model parametrically characterizes place fields to com- pare across cells, time, and conditions; generates realistic place cell effort to explain variability in hippocampal firing rates. A com- simulation data; and conceptualizes a framework for principled hy- putational tool is needed that accounts for the well-established pothesis testing to identify additional features of place cell activity. -
Toward a Common Terminology for the Gyri and Sulci of the Human Cerebral Cortex Hans Ten Donkelaar, Nathalie Tzourio-Mazoyer, Jürgen Mai
Toward a Common Terminology for the Gyri and Sulci of the Human Cerebral Cortex Hans ten Donkelaar, Nathalie Tzourio-Mazoyer, Jürgen Mai To cite this version: Hans ten Donkelaar, Nathalie Tzourio-Mazoyer, Jürgen Mai. Toward a Common Terminology for the Gyri and Sulci of the Human Cerebral Cortex. Frontiers in Neuroanatomy, Frontiers, 2018, 12, pp.93. 10.3389/fnana.2018.00093. hal-01929541 HAL Id: hal-01929541 https://hal.archives-ouvertes.fr/hal-01929541 Submitted on 21 Nov 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. REVIEW published: 19 November 2018 doi: 10.3389/fnana.2018.00093 Toward a Common Terminology for the Gyri and Sulci of the Human Cerebral Cortex Hans J. ten Donkelaar 1*†, Nathalie Tzourio-Mazoyer 2† and Jürgen K. Mai 3† 1 Department of Neurology, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands, 2 IMN Institut des Maladies Neurodégénératives UMR 5293, Université de Bordeaux, Bordeaux, France, 3 Institute for Anatomy, Heinrich Heine University, Düsseldorf, Germany The gyri and sulci of the human brain were defined by pioneers such as Louis-Pierre Gratiolet and Alexander Ecker, and extensified by, among others, Dejerine (1895) and von Economo and Koskinas (1925). -
Neural Populations in Human Posteromedial Cortex Display Opposing Responses During Memory and Numerical Processing
Neural populations in human posteromedial cortex display opposing responses during memory and numerical processing Brett L. Foster, Mohammad Dastjerdi, and Josef Parvizi1 Laboratory of Behavioral and Cognitive Neurology, Department of Neurology and Neurological Sciences, Stanford Human Intracranial Cognitive Electrophysiology Program, Stanford University School of Medicine, Stanford University, Stanford, CA 94305 Edited by Marcus E. Raichle, Washington University in St. Louis, St. Louis, MO, and approved August 7, 2012 (received for review April 23, 2012) Our understanding of the human default mode network derives rate is correlated with behavioral performance, where lower levels primarily from neuroimaging data but its electrophysiological of PCC firing suppression are associated with longer reaction correlates remain largely unexplored. To address this limitation, times (RTs) and higher error rate, a correlation also previously we recorded intracranially from the human posteromedial cortex reported with fMRI in humans (11, 12). Similarly, direct cortical (PMC), a core structure of the default mode network, during various recordings using electrocorticography (ECoG) from human conditions of internally directed (e.g., autobiographical memory) as DMN (13–16) have shown suppression of broadband γ-power [a opposed to externally directed focus (e.g., arithmetic calculation). correlate of population firing rate (17, 18)] during attentional We observed late-onset (>400 ms) increases in broad high γ-power effort. More recently, this broadband suppression across human (70–180 Hz) within PMC subregions during memory retrieval. High DMN regions has also been shown to correlate with behavioral γ-power was significantly reduced or absent when subjects re- performance (16). Taken together, these findings have provided trieved self-referential semantic memories or responded to self- clear electrophysiological evidence for DMN suppression. -
Hippocampal Physiology, Structure and Function and the Neuroscience
Behav. Sci. 2013, 3, 298–315; doi:10.3390/bs3020298 OPEN ACCESS behavioral sciences ISSN 2076-328X www.mdpi.com/journal/behavsci/ Review Hippocampal Physiology, Structure and Function and the Neuroscience of Schizophrenia: A Unified Account of Declarative Memory Deficits, Working Memory Deficits and Schizophrenic Symptoms Cynthia G. Wible Harvard Medical School, VA Boston Healthcare System, 940 Belmont Street Psychiatry 116A Brockton, MA 02301, USA; E-Mail: [email protected] Received: 25 April 2013; in revised form: 30 May 2013 / Accepted: 8 June 2013 / Published: 21 June 2013 Abstract: Memory impairment is a consistent feature of the schizophrenic syndrome. Hippocampal dysfunction has also been consistently demonstrated. This review will discuss neurophysiological and neuroanatomical aspects of memory formation and how they relate to memory impairment in schizophrenia. An understanding of the cellular physiology and connectivity of the hippocampus with other regions can also aid in understanding the relationship between schizophrenic declarative or relational memory deficits, working memory deficits and the clinical symptoms of the syndrome. Keywords: hippocampus; memory; schizophrenia; parietal; superior temporal sulcus; social cognition 1. Introduction Declarative memory and working memory deficits have been consistently demonstrated to be associated with the schizophrenic syndrome [1,2]. Although individuals with hippocampal damage can rehearse information across small time intervals and retain it, under normal circumstances, the hippocampus is used to process and integrate information across very brief time intervals; and is active and used during working memory tasks [3–6]. In fact, many of the hippocampal-dependent memory tasks used with animals in conjunction with hippocampal single neuronal recordings and lesion studies could be classified as working memory tasks (e.g., T-maze, radial arm maze, etc.; reviewed in a later Behav. -
The Pre/Parasubiculum: a Hippocampal Hub for Scene- Based Cognition? Marshall a Dalton and Eleanor a Maguire
Available online at www.sciencedirect.com ScienceDirect The pre/parasubiculum: a hippocampal hub for scene- based cognition? Marshall A Dalton and Eleanor A Maguire Internal representations of the world in the form of spatially which posits that one function of the hippocampus is to coherent scenes have been linked with cognitive functions construct internal representations of scenes in the ser- including episodic memory, navigation and imagining the vice of memory, navigation, imagination, decision-mak- future. In human neuroimaging studies, a specific hippocampal ing and a host of other functions [11 ]. Recent inves- subregion, the pre/parasubiculum, is consistently engaged tigations have further refined our understanding of during scene-based cognition. Here we review recent evidence hippocampal involvement in scene-based cognition. to consider why this might be the case. We note that the pre/ Specifically, a portion of the anterior medial hippocam- parasubiculum is a primary target of the parieto-medial pus is consistently engaged by tasks involving scenes temporal processing pathway, it receives integrated [11 ], although it is not yet clear why a specific subre- information from foveal and peripheral visual inputs and it is gion of the hippocampus would be preferentially contiguous with the retrosplenial cortex. We discuss why these recruited in this manner. factors might indicate that the pre/parasubiculum has privileged access to holistic representations of the environment Here we review the extant evidence, drawing largely from and could be neuroanatomically determined to preferentially advances in the understanding of visuospatial processing process scenes. pathways. We propose that the anterior medial portion of the hippocampus represents an important hub of an Address extended network that underlies scene-related cognition, Wellcome Trust Centre for Neuroimaging, Institute of Neurology, and we generate specific hypotheses concerning the University College London, 12 Queen Square, London WC1N 3BG, UK functional contributions of hippocampal subfields. -
Beta Oscillations and Hippocampal Place Cell Learning During
Beta Oscillations and Hippocampal Place Cell Learning during Exploration of Novel Environments Stephen Grossberg1 1Department of Cognitive and Neural Systems Center for Adaptive Systems, and Center of Excellence for Learning in Education, Science and Technology Boston University 677 Beacon St Boston, Massachusetts 02215 [email protected] Telephone: 617-353-7858/7 Fax: 617-353-7755 http://www.cns.bu.edu/~steve July 29, 2008 Revised: November 24, 2008 CAS/CNS-TR-08-003 Hippocampus, in press Running head: Beta Oscillations during Hippocampal Place Cell Learning Corresponding author: Stephen Grossberg, [email protected] Keywords: grid cells, category learning, spatial navigation, adaptive resonance theory, entorhinal cortex 1 Abstract The functional role of synchronous oscillations in various brain processes has attracted a lot of experimental interest. Berke et al. (2008) reported beta oscillations during the learning of hippocampal place cell receptive fields in novel environments. Such place cell selectivity can develop within seconds to minutes, and can remain stable for months. Paradoxically, beta power was very low during the first lap of exploration, grew to full strength as a mouse traversed a lap for the second and third times, and became low again after the first two minutes of exploration. Beta oscillation power also correlated with the rate at which place cells became spatially selective, and not with theta oscillations. These beta oscillation properties are explained by a neural model of how place cell receptive fields may be learned and stably remembered as spatially selective categories due to feedback interactions between entorhinal cortex and hippocampus. This explanation allows the learning of place cell receptive fields to be understood as a variation of category learning processes that take place in many brain systems, and challenges hippocampal models in which beta oscillations and place cell stability cannot be explained. -
Emergence of Grid-Like Representations by Training
Published as a conference paper at ICLR 2018 EMERGENCE OF GRID-LIKE REPRESENTATIONS BY TRAINING RECURRENT NEURAL NETWORKS TO PERFORM SPATIAL LOCALIZATION Christopher J. Cueva,∗ Xue-Xin Wei∗ Columbia University New York, NY 10027, USA fccueva,[email protected] ABSTRACT Decades of research on the neural code underlying spatial navigation have re- vealed a diverse set of neural response properties. The Entorhinal Cortex (EC) of the mammalian brain contains a rich set of spatial correlates, including grid cells which encode space using tessellating patterns. However, the mechanisms and functional significance of these spatial representations remain largely mysterious. As a new way to understand these neural representations, we trained recurrent neural networks (RNNs) to perform navigation tasks in 2D arenas based on veloc- ity inputs. Surprisingly, we find that grid-like spatial response patterns emerge in trained networks, along with units that exhibit other spatial correlates, including border cells and band-like cells. All these different functional types of neurons have been observed experimentally. The order of the emergence of grid-like and border cells is also consistent with observations from developmental studies. To- gether, our results suggest that grid cells, border cells and others as observed in EC may be a natural solution for representing space efficiently given the predominant recurrent connections in the neural circuits. 1 INTRODUCTION Understanding the neural code in the brain has long been driven by studying feed-forward