مدل حافظه اپیزودیک: سفر ذهنی در زمانی به همراه مسیرهای کد گذاری با استفاده از سلولهای شبکه
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|33636||2009||15 صفحه PDF||سفارش دهید||محاسبه نشده|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Neurobiology of Learning and Memory, Volume 92, Issue 4, November 2009, Pages 559–573
The definition of episodic memory includes the concept of mental time travel: the ability to re-experience a previously experienced trajectory through continuous dimensions of space and time, and to recall specific events or stimuli along this trajectory. Lesions of the hippocampus and entorhinal cortex impair human episodic memory function and impair rat performance in tasks that could be solved by retrieval of trajectories. Recent physiological data suggests a novel model for encoding and retrieval of trajectories, and for associating specific stimuli with specific positions along the trajectory. During encoding in the model, external input drives the activity of head direction cells. Entorhinal grid cells integrate the head direction input to update an internal representation of location, and drive hippocampal place cells. Trajectories are encoded by Hebbian modification of excitatory synaptic connections between hippocampal place cells and head direction cells driven by external action. Associations are also formed between hippocampal cells and sensory stimuli. During retrieval, a sensory input cue activates hippocampal cells that drive head direction activity via previously modified synapses. Persistent spiking of head direction cells maintains the direction and speed of the action, updating the activity of entorhinal grid cells that thereby further update place cell activity. Additional cells, termed arc length cells, provide coding of trajectory segments based on the one-dimensional arc length from the context of prior actions or states, overcoming ambiguity where the overlap of trajectory segments causes multiple head directions to be associated with one place. These mechanisms allow retrieval of complex, self-crossing trajectories as continuous curves through space and time.
Episodic memory includes the capacity to internally re-experience the sequence of events that occurred at particular places and times, in what has been termed “mental time travel” (Eichenbaum and Cohen, 2001, Tulving, 2001 and Tulving, 2002). Episodic memory includes the capacity to mentally retrace trajectories through previously visited locations, including re-experiencing specific stimuli encountered on this trajectory, and the relative timing of events. For example, you can probably remember the route you followed when you left your home this morning, with a memory of the locations you visited and the time you spent in individual locations. You can use this memory to remember where you parked the car, who you saw on your trip, or where you left your car keys. This aspect of episodic memory requires some means by which neurons can code continuous trajectories through space with time intervals representing the original episode. This also requires some means for encoding the location and time of specific events or stimuli encountered along this trajectory. Physiological data shows that hippocampal activity during REM sleep can replay the relative time intervals of spiking activity evoked by different spatial locations during waking (Louie & Wilson, 2001), indicating the capacity to replay spatiotemporal trajectories with the same time scale as actual behavior. Other experiments also show that spiking activity in the hippocampal formation can maintain information about the relative timing of events (Berger et al., 1983, Deadwyler and Hampson, 2006 and Hoehler and Thompson, 1980). Lesion data suggests that encoding and retrieval of previously experienced episodic trajectories involves the entorhinal cortex and hippocampus. In humans, lesions of these structures cause profound impairments of episodic memory, tested both qualitatively and with quantitative measures in verbal memory tasks (Corkin, 1984, Eichenbaum and Cohen, 2003, Graf et al., 1984, Rempel-Clower et al., 1996 and Scoville and Milner, 1957). Impairments in formation of object-location associations occur with right hippocampal or parahippocampal lesions (Bohbot et al., 2000, Bohbot et al., 1998, Milner et al., 1997 and Stepankova et al., 2004). In rats, hippocampal manipulations impair performance in tasks that can be solved using episodic retrieval of specific recent trajectories, including the 8-arm radial maze (Bunce, Sabolek, & Chrobak, 2004), delayed spatial alternation (Ennaceur, Neave, & Aggleton, 1996), the Morris water maze with new platform location on each day (Buresova et al., 1986 and Steele and Morris, 1999) and a task testing a sequence of spatial locations (Lee, Jerman, & Kesner, 2005). Spatial memory is also impaired by lesions of the entorhinal cortex (Steffenach, Witter, Moser, & Moser, 2005) and postsubiculum (Taube, Kesslak, & Cotman, 1992). Learning of spatial trajectories may be a special case of a general capacity for learning sequences within the hippocampus (Eichenbaum, Dudchenko, Wood, Shapiro, & Tanila, 1999), including the sequential order of sensory stimuli (Agster et al., 2002, Fortin et al., 2002, Kesner et al., 2002 and Kesner and Novak, 1982). Many previous models of hippocampal function focus on its role in spatial navigation to goals (Burgess et al., 1997, Foster et al., 2000, Touretzky and Redish, 1996 and Trullier and Meyer, 2000), but not on episodic retrieval of specific trajectories. Most previous hippocampal models that focus on encoding and retrieval of sequences (Hasselmo and Eichenbaum, 2005, Jensen and Lisman, 1996a, Jensen and Lisman, 1996b, Levy, 1996, McNaughton and Morris, 1987, Minai and Levy, 1993, Redish and Touretzky, 1998, Treves and Rolls, 1994, Tsodyks et al., 1996, Wallenstein and Hasselmo, 1997 and Zilli and Hasselmo, 2008c) focus on encoding associations between discrete sequential states (items or locations). However, recent data on grid cell firing in the entorhinal cortex (Barry et al., 2007, Hafting et al., 2005, Moser and Moser, 2008 and Sargolini et al., 2006) suggests a different approach (Hasselmo, 2008b) in which each individual state (place) is associated with an action (the velocity coded by speed-modulated head direction cells). This model of the episodic encoding and retrieval of trajectories can use either of two main classes of grid cell models. One class of models generates grid cells based on interference patterns (Burgess, 2008 and Burgess et al., 2007). This model could use mechanisms of membrane potential oscillations shown in entorhinal neurons (Alonso and Llinas, 1989, Giocomo and Hasselmo, 2008a, Giocomo and Hasselmo, 2008b, Giocomo et al., 2007 and Hasselmo et al., 2007), or could use mechanisms of stable persistent spiking (Egorov et al., 2002, Fransén et al., 2006, Hasselmo, 2008a and Tahvildari et al., 2007). The other class of models uses attractor dynamics to generate grid cell activity (Fuhs and Touretzky, 2006 and McNaughton et al., 2006). The first type of model is used here, but either or both types of models could be used, because both models update grid cell position with a velocity signal from head direction cells. As shown here, a circuit mechanism using grid cells provides a substrate for encoding and retrieval of trajectories defined on continuous dimensions of space and time.