@article {1696, title = {Multiplexed oscillations and phase rate coding in the basal forebrain.}, journal = {Sci Adv}, volume = {4}, year = {2018}, month = {2018 08}, pages = {eaar3230}, abstract = {

Complex behaviors demand temporal coordination among functionally distinct brain regions. The basal forebrain{\textquoteright}s afferent and efferent structure suggests a capacity for mediating this coordination at a large scale. During performance of a spatial orientation task, synaptic activity in this region was dominated by four amplitude-independent oscillations temporally organized by the phase of the slowest, a theta-frequency rhythm. Oscillation amplitudes were also organized by task epoch and positively correlated to the task-related modulation of individual neuron firing rates. For many neurons, spiking was temporally organized through phase precession against theta band field potential oscillations. Theta phase precession advanced in parallel to task progression, rather than absolute spatial location or time. Together, the findings reveal a process by which associative brain regions can integrate independent oscillatory inputs and transform them into sequence-specific, rate-coded outputs that are adaptive to the pace with which organisms interact with their environment.

}, keywords = {Animals, Basal Forebrain, Male, Models, Neurological, Neurons, Rats, Rats, Long-Evans, Space Perception, Theta Rhythm}, issn = {2375-2548}, doi = {10.1126/sciadv.aar3230}, author = {Tingley, David and Alexander, Andrew S and Quinn, Laleh K and Chiba, Andrea A and Nitz, Douglas} } @article {213, title = {Sparse and distributed coding of episodic memory in neurons of the human hippocampus.}, journal = {Proc Natl Acad Sci U S A}, volume = {111}, year = {2014}, month = {2014 Jul 1}, pages = {9621-6}, abstract = {

Neurocomputational models hold that sparse distributed coding is the most efficient way for hippocampal neurons to encode episodic memories rapidly. We investigated the representation of episodic memory in hippocampal neurons of nine epilepsy patients undergoing intracranial monitoring as they discriminated between recently studied words (targets) and new words (foils) on a recognition test. On average, single units and multiunits exhibited higher spike counts in response to targets relative to foils, and the size of this effect correlated with behavioral performance. Further analyses of the spike-count distributions revealed that (i) a small percentage of recorded neurons responded to any one target and (ii) a small percentage of targets elicited a strong response in any one neuron. These findings are consistent with the idea that in the human hippocampus episodic memory is supported by a sparse distributed neural code.

}, keywords = {Epilepsy, Hippocampus, Humans, Memory, Episodic, Models, Neurological, Neurophysiological Monitoring, Neuropsychological Tests}, issn = {1091-6490}, doi = {10.1073/pnas.1408365111}, author = {Wixted, John T and Squire, Larry R and Jang, Yoonhee and Papesh, Megan H and Goldinger, Stephen D and Kuhn, Joel R and Smith, Kris A and Treiman, David M and Steinmetz, Peter N} } @article {159, title = {The brain activity map project and the challenge of functional connectomics.}, journal = {Neuron}, volume = {74}, year = {2012}, month = {2012 Jun 21}, pages = {970-4}, abstract = {

The function of neural circuits is an emergent property that arises from the coordinated activity of large numbers of neurons. To capture this, we propose launching a large-scale, international public effort, the Brain Activity Map Project, aimed at reconstructing the full record of neural activity across complete neural circuits. This technological challenge could prove to be an invaluable step toward understanding fundamental and pathological brain processes.

}, keywords = {Action Potentials, Brain, Brain Mapping, Humans, Models, Neurological, Nerve Net, Neural Pathways, Neurons}, issn = {1097-4199}, doi = {10.1016/j.neuron.2012.06.006}, author = {Alivisatos, A Paul and Chun, Miyoung and Church, George M and Greenspan, Ralph J and Roukes, Michael L and Yuste, Rafael} } @article {195, title = {Rat performance on visual detection task modeled with divisive normalization and adaptive decision thresholds.}, journal = {J Vis}, volume = {11}, year = {2011}, month = {2011}, abstract = {

Performance on any perceptual task depends on both the perceptual capacity and the decision strategy of the subject. We provide a model to fit both aspects and apply it to data from rats performing a detection task. When rats must detect a faint visual target, the presence of other nearby stimuli ("flankers") increases the difficulty of the task. In this study, we consider two specific factors. First, flankers could diminish the sensory response to the target via spatial contrast normalization in early visual processing. Second, rats may treat the sensory signal caused by the flankers as if it belonged to the target. We call this source confusion, which may be sensory, cognitive, or both. We account for contrast normalization and source confusion by fitting model parameters to the likelihood of the observed behavioral data. We test multiple combinations of target and flanker contrasts using a yes/no detection task. Contrast normalization was crucial to explain the rats{\textquoteright} flanker-induced detection impairment. By adding a decision variable to the contrast normalization framework, our model provides a new tool to assess differences in visual or cognitive brain function between normal and abnormal rodents.

}, keywords = {Adaptation, Physiological, Animals, Choice Behavior, Cognition, Conditioning (Psychology), Contrast Sensitivity, Male, Models, Neurological, Photic Stimulation, Psychomotor Performance, Rats, Rats, Long-Evans, Visual Perception}, issn = {1534-7362}, doi = {10.1167/11.9.1}, author = {Meier, Philip and Reinagel, Pamela} } @article {182, title = {New neurons and new memories: how does adult hippocampal neurogenesis affect learning and memory?}, journal = {Nat Rev Neurosci}, volume = {11}, year = {2010}, month = {2010 May}, pages = {339-50}, abstract = {

The integration of adult-born neurons into the circuitry of the adult hippocampus suggests an important role for adult hippocampal neurogenesis in learning and memory, but its specific function in these processes has remained elusive. In this article, we summarize recent progress in this area, including advances based on behavioural studies and insights provided by computational modelling. Increasingly, evidence suggests that newborn neurons might be involved in hippocampal functions that are particularly dependent on the dentate gyrus, such as pattern separation. Furthermore, newborn neurons at different maturation stages may make distinct contributions to learning and memory. In particular, computational studies suggest that, before newborn neurons are fully mature, they might function as a pattern integrator by introducing a degree of similarity to the encoding of events that occur closely in time.

}, keywords = {Adult Stem Cells, Animals, Hippocampus, Humans, Learning, Memory, Models, Neurological, Neurogenesis, Neurons}, issn = {1471-0048}, doi = {10.1038/nrn2822}, author = {Deng, Wei and Aimone, James B and Gage, Fred H} } @article {160, title = {A proposal for a coordinated effort for the determination of brainwide neuroanatomical connectivity in model organisms at a mesoscopic scale.}, journal = {PLoS Comput Biol}, volume = {5}, year = {2009}, month = {2009 Mar}, pages = {e1000334}, abstract = {

In this era of complete genomes, our knowledge of neuroanatomical circuitry remains surprisingly sparse. Such knowledge is critical, however, for both basic and clinical research into brain function. Here we advocate for a concerted effort to fill this gap, through systematic, experimental mapping of neural circuits at a mesoscopic scale of resolution suitable for comprehensive, brainwide coverage, using injections of tracers or viral vectors. We detail the scientific and medical rationale and briefly review existing knowledge and experimental techniques. We define a set of desiderata, including brainwide coverage; validated and extensible experimental techniques suitable for standardization and automation; centralized, open-access data repository; compatibility with existing resources; and tractability with current informatics technology. We discuss a hypothetical but tractable plan for mouse, additional efforts for the macaque, and technique development for human. We estimate that the mouse connectivity project could be completed within five years with a comparatively modest budget.

}, keywords = {Animals, Brain, Databases, Factual, Humans, Macaca, Mice, Models, Neurological, Nerve Net, Neuroanatomy, Research Design}, issn = {1553-7358}, doi = {10.1371/journal.pcbi.1000334}, author = {Bohland, Jason W and Wu, Caizhi and Barbas, Helen and Bokil, Hemant and Bota, Mihail and Breiter, Hans C and Cline, Hollis T and Doyle, John C and Freed, Peter J and Greenspan, Ralph J and Haber, Suzanne N and Hawrylycz, Michael and Herrera, Daniel G and Hilgetag, Claus C and Huang, Z Josh and Jones, Allan and Jones, Edward G and Karten, Harvey J and Kleinfeld, David and K{\"o}tter, Rolf and Lester, Henry A and Lin, John M and Mensh, Brett D and Mikula, Shawn and Panksepp, Jaak and Price, Joseph L and Safdieh, Joseph and Saper, Clifford B and Schiff, Nicholas D and Schmahmann, Jeremy D and Stillman, Bruce W and Svoboda, Karel and Swanson, Larry W and Toga, Arthur W and Van Essen, David C and Watson, James D and Mitra, Partha P} }