Extensive Inhibitory Gating of Viscerosensory Signals by a Sparse Network of Somatostatin Neurons
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Behavioral Plasticity Through the Modulation of Switch Neurons
Behavioral Plasticity Through the Modulation of Switch Neurons Vassilis Vassiliades, Chris Christodoulou Department of Computer Science, University of Cyprus, 1678 Nicosia, Cyprus Abstract A central question in artificial intelligence is how to design agents ca- pable of switching between different behaviors in response to environmental changes. Taking inspiration from neuroscience, we address this problem by utilizing artificial neural networks (NNs) as agent controllers, and mecha- nisms such as neuromodulation and synaptic gating. The novel aspect of this work is the introduction of a type of artificial neuron we call \switch neuron". A switch neuron regulates the flow of information in NNs by se- lectively gating all but one of its incoming synaptic connections, effectively allowing only one signal to propagate forward. The allowed connection is determined by the switch neuron's level of modulatory activation which is affected by modulatory signals, such as signals that encode some informa- tion about the reward received by the agent. An important aspect of the switch neuron is that it can be used in appropriate \switch modules" in or- der to modulate other switch neurons. As we show, the introduction of the switch modules enables the creation of sequences of gating events. This is achieved through the design of a modulatory pathway capable of exploring in a principled manner all permutations of the connections arriving on the switch neurons. We test the model by presenting appropriate architectures in nonstationary binary association problems and T-maze tasks. The results show that for all tasks, the switch neuron architectures generate optimal adaptive behaviors, providing evidence that the switch neuron model could be a valuable tool in simulations where behavioral plasticity is required. -
Central Neurocircuits Regulating Food Intake in Response to Gut Inputs—Preclinical Evidence
nutrients Review Central Neurocircuits Regulating Food Intake in Response to Gut Inputs—Preclinical Evidence Kirsteen N. Browning * and Kaitlin E. Carson Department of Neural and Behavioral Sciences, Penn State College of Medicine, Hershey, PA 17033, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-717-531-8267 Abstract: The regulation of energy balance requires the complex integration of homeostatic and hedonic pathways, but sensory inputs from the gastrointestinal (GI) tract are increasingly recognized as playing critical roles. The stomach and small intestine relay sensory information to the central nervous system (CNS) via the sensory afferent vagus nerve. This vast volume of complex sensory information is received by neurons of the nucleus of the tractus solitarius (NTS) and is integrated with responses to circulating factors as well as descending inputs from the brainstem, midbrain, and forebrain nuclei involved in autonomic regulation. The integrated signal is relayed to the adjacent dorsal motor nucleus of the vagus (DMV), which supplies the motor output response via the efferent vagus nerve to regulate and modulate gastric motility, tone, secretion, and emptying, as well as intestinal motility and transit; the precise coordination of these responses is essential for the control of meal size, meal termination, and nutrient absorption. The interconnectivity of the NTS implies that many other CNS areas are capable of modulating vagal efferent output, emphasized by the many CNS disorders associated with dysregulated GI functions including feeding. This review will summarize the role of major CNS centers to gut-related inputs in the regulation of gastric function Citation: Browning, K.N.; Carson, with specific reference to the regulation of food intake. -
How Local Excitation-Inhibition Ratio Impacts the Whole Brain Dynamics Gustavo Deco Universitat Pompeu Fabra
Washington University School of Medicine Digital Commons@Becker Open Access Publications 2014 How local excitation-inhibition ratio impacts the whole brain dynamics Gustavo Deco Universitat Pompeu Fabra Adrian Ponce-Alvarez Universitat Pompeu Fabra Patric Hagmann University of Lausanne Gian Luca Romani G. d'Annunzio University Dante Mantini University of Oxford See next page for additional authors Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Recommended Citation Deco, Gustavo; Ponce-Alvarez, Adrian; Hagmann, Patric; Romani, Gian Luca; Mantini, Dante; and Corbetta, Maurizio, ,"How local excitation-inhibition ratio impacts the whole brain dynamics." The ourJ nal of Neuroscience.34,23. 7886-7898. (2014). https://digitalcommons.wustl.edu/open_access_pubs/2973 This Open Access Publication is brought to you for free and open access by Digital Commons@Becker. It has been accepted for inclusion in Open Access Publications by an authorized administrator of Digital Commons@Becker. For more information, please contact [email protected]. Authors Gustavo Deco, Adrian Ponce-Alvarez, Patric Hagmann, Gian Luca Romani, Dante Mantini, and Maurizio Corbetta This open access publication is available at Digital Commons@Becker: https://digitalcommons.wustl.edu/open_access_pubs/2973 7886 • The Journal of Neuroscience, June 4, 2014 • 34(23):7886–7898 Systems/Circuits How Local Excitation–Inhibition Ratio Impacts the Whole Brain Dynamics Gustavo Deco,1,2* Adria´n Ponce-Alvarez,1* Patric Hagmann,3,4 Gian Luca Romani,5 -
Context-Modular Memory Networks Support High-Capacity, Flexible, And
bioRxiv preprint doi: https://doi.org/10.1101/2020.01.08.898528; this version posted January 9, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Context-modular memory networks support high-capacity, flexible, and robust associative memories William F. Podlaski,∗ Everton J. Agnes,y and Tim P. Vogelsy Centre for Neural Circuits and Behaviour, University of Oxford, OX1 3SR Oxford, United Kingdom Context, such as behavioral state, is known to modulate memory formation and retrieval, but is usually ignored in associative memory models. Here, we propose several types of contextual modulation for associative memory networks that greatly increase their performance. In these networks, context inactivates specific neurons and connections, which modulates the effective connectivity of the network. Memories are stored only by the active components, thereby reducing interference from memories acquired in other contexts. Such networks exhibit several beneficial characteristics, including enhanced memory capacity, high robustness to noise, increased robustness to memory overloading, and better memory retention during continual learning. Furthermore, memories can be biased to have different relative strengths, or even gated on or off, according to contextual cues, providing a candidate model for cognitive control of memory and efficient memory search. An external context-encoding network can dynamically switch the memory network to a desired state, which we liken to experimentally observed contextual signals in prefrontal cortex and hippocampus. Overall, our work illustrates the benefits of organizing memory around context, and provides an important link between behavioral studies of memory and mechanistic details of neural circuits. -
Memory Trace Replay: the Shaping of Memory Consolidation by Neuromodulation
Atherton, L. A., Duprett, D., & Mellor, J. R. (2015). Memory trace replay: The shaping of memory consolidation by neuromodulation. Trends in Neurosciences, 38(9), 560-570. https://doi.org/10.1016/j.tins.2015.07.004 Publisher's PDF, also known as Version of record License (if available): CC BY Link to published version (if available): 10.1016/j.tins.2015.07.004 Link to publication record in Explore Bristol Research PDF-document University of Bristol - Explore Bristol Research General rights This document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/red/research-policy/pure/user-guides/ebr-terms/ Review Memory trace replay: the shaping of memory consolidation by neuromodulation 1 2 1 Laura A. Atherton , David Dupret , and Jack R. Mellor 1 School of Physiology and Pharmacology, University of Bristol, Bristol, BS8 1TD, UK 2 Medical Research Council Brain Network Dynamics Unit at the University of Oxford, Department of Pharmacology, Oxford, OX1 3TH, UK The consolidation of memories for places and events is (sSWRs), long periods of awake immobility (iSWRs), or thought to rely, at the network level, on the replay of brief pauses in exploration (eSWRs) (reviewed in [9,10]). spatially tuned neuronal firing patterns representing Sequential replay can occur in both a forward [11–15] discrete places and spatial trajectories. This occurs in and backward [11,13–16] direction, with the directional the hippocampal-entorhinal circuit during sharp wave balance proposed to be dependent on the ongoing behav- ripple events (SWRs) that occur during sleep or rest. -
Lateral Hypothalamic Modulation of the Gustatory-Salivary Reflex in Rats’
0270.6474/84/0405-1208$02.00/O The Journal of Neuroscience Copyright 0 Society for Neuroscience Vol. 4, No. 5, pp. 1208-1216 Printed in U.S.A. May 1984 LATERAL HYPOTHALAMIC MODULATION OF THE GUSTATORY-SALIVARY REFLEX IN RATS’ RYUJI MATSU02 AND KIYOSHI KUSAN03 Neurophysiology Laboratory, Department of Biology, Illinois Institute of Technology, Chicago, Illinois 60616 Received June 27, 1983; Revised November 29, 1983; Accepted January 3, 1984 Abstract It is well recognized that the basic mechanism for the gustatory-salivary reflex is located in the lower brainstem and that suprabulbar structures possibly influence this mechanism. This study is designed to evaluate the neurophysiological mechanism underlying the effect of the lateral hypo- thalamic area (LHA) on the bulbar gustatory-salivary reflex. Submandibular salivary secretion and the electrical activity of the preganglionic parasympathetic fibers innervating the submandibular and sublingual glands were recorded in anesthetized rats. Stimulation of the tongue with high concentrations of chemical solutions (1 M and 2 M NaCl and 0.01 M and 0.05 M HCl) and/or pinching the tongue with a small clamp induced a profuse salivary secretion (3 to 28.5 ~1/5 min) recorded from a unilateral submandibular gland. The preganglionic fibers consisted of three types: taste-related fibers, which increased their firing rate by taste stimuli; pinch-related fibers, which increased their firing rate by pinching; and unidentified fibers, which did not respond to taste or pinching stimulations of the tongue. Electrical stimulation of the ipsilateral LHA caused the secretion of a small amount of saliva (1.5 ~1/5 min), and it appeared that taste-related fibers more often received polysynaptic connections from the LHA than other types of fibers. -
Context-Modular Memory Networks Support High-Capacity, Flexible, And
bioRxiv preprint doi: https://doi.org/10.1101/2020.01.08.898528; this version posted January 9, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Context-modular memory networks support high-capacity, flexible, and robust associative memories William F. Podlaski,∗ Everton J. Agnes,y and Tim P. Vogelsy Centre for Neural Circuits and Behaviour, University of Oxford, OX1 3SR Oxford, United Kingdom Context, such as behavioral state, is known to modulate memory formation and retrieval, but is usually ignored in associative memory models. Here, we propose several types of contextual modulation for associative memory networks that greatly increase their performance. In these networks, context inactivates specific neurons and connections, which modulates the effective connectivity of the network. Memories are stored only by the active components, thereby reducing interference from memories acquired in other contexts. Such networks exhibit several beneficial characteristics, including enhanced memory capacity, high robustness to noise, increased robustness to memory overloading, and better memory retention during continual learning. Furthermore, memories can be biased to have different relative strengths, or even gated on or off, according to contextual cues, providing a candidate model for cognitive control of memory and efficient memory search. An external context-encoding network can dynamically switch the memory network to a desired state, which we liken to experimentally observed contextual signals in prefrontal cortex and hippocampus. Overall, our work illustrates the benefits of organizing memory around context, and provides an important link between behavioral studies of memory and mechanistic details of neural circuits. -
Brainstem Reflexes Herniation Syndromes (CN IX-XII) Lab 7 March 24, 2021 - Dr
Brainstem Reflexes Herniation Syndromes (CN IX-XII) Lab 7 March 24, 2021 - Dr. Krebs ([email protected]) Objectives: 1. Describe the relationship of the functional anatomy of CN IX - XII and the location of their respective nuclei to a neurological exam which examines the brainstem. 2. Explain the neuroanatomical pathways associated with brainstem reflexes tested in the conscious and unconscious patient. 3. Describe the relationship between the sympathetic and parasympathetic innervation of the eye to the clinical assessment of eye reflexes. 4. Describe the relationship of changes in upper limb posture of unconscious patient to underlying damage to the brainstem. 5. Describe the consequences of herniation syndromes associated with increases in intracranial pressure. Videos for Review: Notes: • For identification of the cranial nerves, use online modules and videos, your atlas and micrographs to locate the nuclei listed. • On the brain and brainstem specimens, locate cranial nerves IX, X, XI and XII. Note the level at which they are attached to the brainstem. ** NOTE: Interactive PDFs are best viewed on desktop/laptop computers - functionality is not reliable on mobile devices ** Design & Artwork: The HIVE (hive.med.ubc.ca) 1 Brainstem Reflexes Herniation Syndromes (CN IX-XII) Lab 7 March 24, 2021 - Dr. Krebs ([email protected]) Glossopharyngeal Nerve (CN IX) Modality Associated Nucleus Function Motor Nucleus ambiguus Motor to stylopharyngeus muscle (SVE) Parasympathetic Inferior salivatory nucleus Stimulation of parotid gland (GVE) Taste Solitary nucleus and tract Taste from posterior 1/3 of tongue (SVA) Somatic Sensory Spinal trigeminal nucleus and General sensation from posterior 1/3 of tongue, (GSA) tract pharynx, external ear/tympanic membrane Visceral Sensory Solitary nucleus and tract Carotid body, gag sensation from oropharynx (GVA) Which foramen does CN IX exit through? Highlight and label the nuclei associated with CN IX in this diagram and show the types of fibres that comprise this peripheral nerve. -
Potentiating M1 and Mglu1 Receptors to Modulate Prefrontal Cortical Dysfunction in Psychiatric Diseases
Potentiating M1 and mGlu1 receptors to modulate prefrontal cortical dysfunction in psychiatric diseases By James Thomas Michael Maksymetz Dissertation Submitted to the Faculty of the Graduate School of Vanderbilt University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in Pharmacology March 31st, 2020 Nashville, Tennessee Approved: P. Jeffrey Conn, Ph.D. Craig W. Lindsley, Ph.D. Brad A. Grueter, Ph.D. Roger J. Colbran, Ph.D. Sachin Patel, M.D., Ph.D. Copyright © 2020 by James Thomas Michael Maksymetz All Rights Reserved ii ACKNOWLEDGEMENTS There are countless people that have contributed scientifically and intellectually to the work described in this dissertation. First and foremost, I would like to sincerely thank my graduate mentor Dr. P Jeffrey Conn for all of his support and guidance. I am eternally grateful for the scientific, career, and life advice that Jeff has provided throughout my graduate career. I would also like to thank the members of my dissertation committee for their helpful feedback, for putting up with my ever-changing research directions, and for continuously supporting my scientific and career development. Thank you to all of the members of the Conn lab, past and present, who have made the last few years a blast, through the good and the bad. In particular, I would like to thank the other half of “Shames”, Sean Moran, for his friendship and for being a great sounding board for ideas, problems, and terrible jokes. I will forever believe that our endless, pedantic arguments were essential for getting through graduate school. I would also like to thank Max Joffe for being a great friend and an amazing mentor in the lab. -
Brainstem: Structure & Func On
Brainstem: Structure & Func1on Adrian Poniatowski StudyAid Neuroanatomy Seminar November 26, 2017 A pleasure to meet you... • Name: Adrian Poniatowski • Hometown: New York City • Job: Professional Baller, Future Doctor • Hobbies: Winning @ Life Brainstem = Manha<an • Connects everything • Every connecon is important • Small lesions = big problems • Locaon, locaon, locaon! Ques1on 1 Cranial nerves exit from the following locaons EXCEPT • a.) vagus nerve from posterior lateral sulcus • b.) facial nerve from cerebello-ponne angle • c.) abducens nerve from anterior lateral sulcus • d.) trochlear nerve lateral to the frenulum of the superior medullary velum • e.) oculomotor nerve from interpeduncular fossa 3 Midbrain Pons Cross-secons: Clinical Correlates Medulla Ques1on 2 All of the following locaons given are correct EXCEPT: • a.) motor nucleus of trigeminal - ponne tegmentum • b.) superior salivatory nucleus of VII - ponne tegmentum • c.) superior vesMbular nucleus of VIII - ponne tegmentum • d.) motor nucleus of hypoglossal - dorsal medulla • e.) motor nucleus of VI - mesencephalic tegmentum MLF Pathway • FuncMon: Connects oculomotor nuclei to integrate eye movements • Nerves: CN III and VI • Lesion causes Internuclear Opthalmoplegia • Abnormal adducMon of IPSILATERAL eye, usually with nystagmus • Where is the lesion here? Ques1on 3 Muscles of the eyeball are innervated by all of the following EXCEPT: • a.) axons of the nucleus located in the mesencephalic tegmentum • b.) axons of the nucleus located in the ponne tegmentum • c.) axons -
The Effect of Cortical and Pallidal Inputs on Striatal Microcircuit Activity and Behavioral Output
The Effect of Cortical and Pallidal Inputs on Striatal Microcircuit Activity and Behavioral Output by Victoria Louise Corbit Bachelor's of Science, Lafayette College, 2013 Submitted to the Graduate Faculty of School of Medicine in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2019 Commi tte e Membership Page UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE This dissertation was presented by Victoria Louise Corbit It was defended on June 17, 2019 and approved by Robert S. Turner, Ph.D, Professor, Department of Neurobiology Susan R. Sesack, Ph.D, Professor, Department of Neuroscience Peter L. Strick, Ph.D, Distinguished Professor and Chair, Department of Neurobiology Patrick Rothwell, Ph.D, Assistant Professor, Department of Neuroscience, University of Minnesota Dissertation Director: Susanne E. Ahmari, M.D., Ph.D, Assistant Professor, Department of Psychiatry Dissertation Director: Aryn H. Gittis, Ph.D, Associate Professor, Department of Biological Sciences, Carnegie Mellon University ii Copyright © by Victoria Louise Corbit 2019 iii Abstract The Effect of Cortical and Pallidal Inputs on Striatal Microcircuit Activity and Behavioral Output Victoria Louise Corbit, PhD University of Pittsburgh, 2019 This dissertation focuses on the role of striatal microcircuits and how afferents from cortex and globus pallidus externa (GPe) play a role in striatal activity and behavioral output. In the first chapter I summarize the role of striatal subregions in behavioral selection and initiation and elaborate on how striatal activity in output neurons (SPNs) and fast-spiking interneurons (FSIs) has been associated with behavioral initiations. Chapter 2 highlights the capacity of an FSI-specific pallidostriatal projection for controlling the activity of SPNs, particularly under dopamine depletion conditions. -
Origin of Climbing Fiber Neurons and Their Developmental Dependence Onptf1a
10924 • The Journal of Neuroscience, October 10, 2007 • 27(41):10924–10934 Development/Plasticity/Repair Origin of Climbing Fiber Neurons and Their Developmental Dependence on Ptf1a Mayumi Yamada,1 Mami Terao,1 Toshio Terashima,2 Tomoyuki Fujiyama,1 Yoshiya Kawaguchi,3 Yo-ichi Nabeshima,1 and Mikio Hoshino1,4 1Department of Pathology and Tumor Biology, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto 606-8501, Japan, 2Division of Anatomy and Neurobiology, Department of Neuroscience, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan, 3Department of Surgery and Surgical Basic Science, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto 606-8507, Japan, and 4Department of Biochemistry and Cellular Biology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo 187-8502, Japan Climbing fiber (CF) neurons in the inferior olivary nucleus (ION) extend their axons to Purkinje cells, playing a crucial role in regulating cerebellarfunction.However,littleisknownabouttheirpreciseplaceofbirthanddevelopmentalmolecularmachinery.Here,wedescribe the origin of the CF neuron lineage and the involvement of Ptf1a ( pancreatic transcription factor 1a) in CF neuron development. Ptf1a protein was found to be expressed in a discrete dorsolateral region of the embryonic caudal hindbrain neuroepithelium. Because expres- sion of Ptf1a is not overlapping other transcription factors such as Math1 (mouse atonal homolog 1) and Neurogenin1, which are suggested to define domains within caudal hindbrain neuroepithelium (Landsberg et al., 2005), we named the neuroepithelial region the Ptf1a domain. Analysis of mice that express -galactosidase from the Ptf1a locus revealed that CF neurons are derived from the Ptf1a domain. In contrast, retrograde labeling of precerebellar neurons indicated that mossy fiber neurons are not derived from Ptf1a- expressing progenitors.