Fabrizio Musacchio
@pixeltracker@sigmoid.social  ·  activity timestamp last week
Fabrizio Musacchio
@pixeltracker@sigmoid.social  ·  activity timestamp 3 weeks ago
Fabrizio Musacchio
@pixeltracker@sigmoid.social  ·  activity timestamp 4 weeks ago
Fabrizio Musacchio
@pixeltracker@sigmoid.social  ·  activity timestamp 4 weeks ago
Fabrizio Musacchio
@pixeltracker@sigmoid.social  ·  activity timestamp 4 weeks ago
Fabrizio Musacchio
@pixeltracker@sigmoid.social  ·  activity timestamp 4 weeks ago
Fabrizio Musacchio
@pixeltracker@sigmoid.social  ·  activity timestamp last month
Fig. 2. Schematic of the random-mode model. Upper: couplings J are generated as a sum of outer products, ℓ a r a T , with component strengths D a . Lower: the two-point function C ⋆ ϕ ( τ ) and four-point function Ψ ⋆ ϕ ( τ ) are calculated in terms of the statistics of D a . The two-point function depends only on the effective gain g eff , while the four-point function depends on both g eff and PR D , the effective dimension of the connectivity determined by the D a distribution.
Fig. 2. Schematic of the random-mode model. Upper: couplings J are generated as a sum of outer products, ℓ a r a T , with component strengths D a . Lower: the two-point function C ⋆ ϕ ( τ ) and four-point function Ψ ⋆ ϕ ( τ ) are calculated in terms of the statistics of D a . The two-point function depends only on the effective gain g eff , while the four-point function depends on both g eff and PR D , the effective dimension of the connectivity determined by the D a distribution.
Fig. 2. Schematic of the random-mode model. Upper: couplings J are generated as a sum of outer products, ℓ a r a T , with component strengths D a . Lower: the two-point function C ⋆ ϕ ( τ ) and four-point function Ψ ⋆ ϕ ( τ ) are calculated in terms of the statistics of D a . The two-point function depends only on the effective gain g eff , while the four-point function depends on both g eff and PR D , the effective dimension of the connectivity determined by the D a distribution.
Fabrizio Musacchio
@pixeltracker@sigmoid.social  ·  activity timestamp last month
Figure 2. The state space comprises three dimensions: the degree to which reinstatement is driven by a hippocampal mechanism (Hippocampal; weak to strong); the degree to which reinstatement is driven by a nonhippocampal mechanism (Nonhippocampal; weak to strong); and the degree to which reinstatement is episodically speci c (Speci city; low to high).
Figure 2. The state space comprises three dimensions: the degree to which reinstatement is driven by a hippocampal mechanism (Hippocampal; weak to strong); the degree to which reinstatement is driven by a nonhippocampal mechanism (Nonhippocampal; weak to strong); and the degree to which reinstatement is episodically speci c (Speci city; low to high).
Figure 2. The state space comprises three dimensions: the degree to which reinstatement is driven by a hippocampal mechanism (Hippocampal; weak to strong); the degree to which reinstatement is driven by a nonhippocampal mechanism (Nonhippocampal; weak to strong); and the degree to which reinstatement is episodically speci c (Speci city; low to high).
Figure 1. A modal neurocognitive model of episodic retrieval and systems consolidation. (A) When experiencing an event, a distributed pattern of activity occurs along neocortical processing pathways (pathways shown here are intentionally ‘generic’ but could map to ventral and dorsal visual pathways as well as other sensory processing pathways; e.g., auditory). These pathways converge on the hippocampus and are bound into a memory trace allowing for their retrieval later in time. At encoding, all neocortical representations are active, forming a new hippocampal memory trace. At retrieval, a subset of neocor- tical representations will be active, allowing for the retrieval of the hippocampal memory trace and subsequent reinstatement of the remaining neocortical representations. (B) Over time, connections between neocortical regions form, allowing for their retrieval without the involvement of the hippocampus. Blue lines indicate pre-existing connections/representations; yellow lines indicate newly formed connections/representations; grey lines indicate previously formed connections that have weakened.
Figure 1. A modal neurocognitive model of episodic retrieval and systems consolidation. (A) When experiencing an event, a distributed pattern of activity occurs along neocortical processing pathways (pathways shown here are intentionally ‘generic’ but could map to ventral and dorsal visual pathways as well as other sensory processing pathways; e.g., auditory). These pathways converge on the hippocampus and are bound into a memory trace allowing for their retrieval later in time. At encoding, all neocortical representations are active, forming a new hippocampal memory trace. At retrieval, a subset of neocor- tical representations will be active, allowing for the retrieval of the hippocampal memory trace and subsequent reinstatement of the remaining neocortical representations. (B) Over time, connections between neocortical regions form, allowing for their retrieval without the involvement of the hippocampus. Blue lines indicate pre-existing connections/representations; yellow lines indicate newly formed connections/representations; grey lines indicate previously formed connections that have weakened.
Figure 1. A modal neurocognitive model of episodic retrieval and systems consolidation. (A) When experiencing an event, a distributed pattern of activity occurs along neocortical processing pathways (pathways shown here are intentionally ‘generic’ but could map to ventral and dorsal visual pathways as well as other sensory processing pathways; e.g., auditory). These pathways converge on the hippocampus and are bound into a memory trace allowing for their retrieval later in time. At encoding, all neocortical representations are active, forming a new hippocampal memory trace. At retrieval, a subset of neocor- tical representations will be active, allowing for the retrieval of the hippocampal memory trace and subsequent reinstatement of the remaining neocortical representations. (B) Over time, connections between neocortical regions form, allowing for their retrieval without the involvement of the hippocampus. Blue lines indicate pre-existing connections/representations; yellow lines indicate newly formed connections/representations; grey lines indicate previously formed connections that have weakened.
Fabrizio Musacchio
@pixeltracker@sigmoid.social  ·  activity timestamp last month
Victor Buendía
@vbuendiar@fediscience.org  ·  activity timestamp 2 months ago
Wu-Lee and 2 others boosted
Dan Goodman
@neuralreckoning@neuromatch.social  ·  activity timestamp 3 months ago
Dan Goodman
@neuralreckoning@neuromatch.social  ·  activity timestamp 3 months ago
Elias MB Rau
@eliasraw@synapse.cafe  ·  activity timestamp 4 months ago
Elias MB Rau
@eliasraw@synapse.cafe  ·  activity timestamp 4 months ago
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