Exploring the 4th Dimension: Hippocampus, Time, and Memory Revisited

Yin, Bin; Troger, Andrew B.

doi:10.3389/fnint.2011.00036

Cited by 50 publications

(48 citation statements)

References 71 publications

(91 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SBFm model links working memory processes and interval timing by assuming that the firing patterns of the oscillating neurons could encode for content in the working memory system, whereas the phase of these oscillations could encode for temporal properties [139,140]. Future work will focus on the implementation of this SBFm model, and at the same time testing the predictions of this model using, for example, network synchrony analyses [139,155] and model-based fMRI analyses [156][157][158] in an attempt to unify prospective and retrospective time estimation [159][160][161][162][163].…”

Section: Discussionmentioning

confidence: 99%

Dedicated Clock/Timing-Circuit Theories of Time Perception and Timed Performance

Rijn

Meck

2014

Advances in Experimental Medicine and Biology

105

View full text Add to dashboard Cite

Scalar Timing Theory (an information-processing version of Scalar Expectancy Theory) and its evolution into the neurobiologically plausible Striatal Beat-Frequency (SBF) theory of interval timing are reviewed. These pacemaker/accumulator or oscillation/coincidence detection models are then integrated with the Adaptive Control of Thought-Rational (ACT-R) cognitive architecture as dedicated timing modules that are able to make use of the memory and decision-making mechanisms contained in ACT-R. The different predictions made by the incorporation of these timing modules into ACT-R are discussed as well as the potential limitations. Novel implementations of the original SBF model that allow it to be incorporated into ACT-R in a more fundamental fashion than the earlier simulations of Scalar Timing Theory are also considered in conjunction with the proposed properties and neural correlates of the "internal clock".

show abstract

Section: Discussionmentioning

confidence: 99%

Dedicated Clock/Timing-Circuit Theories of Time Perception and Timed Performance

Rijn

Meck

2014

Advances in Experimental Medicine and Biology

105

View full text Add to dashboard Cite

show abstract

“…Rats with dorsal, ventral or complete hippocampal lesions are highly inefficient in this task because they are less able to wait for the defined temporal interval to elapse [69]. Consequently, the hippocampus has been proposed to play a role in temporal memory and/or inhibitory processes [26]. Hippocampal lesions have been suggested to affect peak times in the peak-interval procedure and the subjective equivalence points in the temporal bisection procedure [20,21,53,70].…”

Section: Discussion (A) Dorsal and Ventral Hippocampal Lesions Differmentioning

confidence: 99%

“…Since the initial evaluation of the effects of post-training fimbria-fornix lesions on timing and temporal memory [20], studies investigating the role of the hippocampus in the temporal control of behaviour have generated consistent, though not always conclusive, results [21][22][23][24]. Specifically, both humans and rodents with a variety of different types of hippocampal lesions have been shown to underestimate target durations, and/or to exhibit increased sensitivity to signal duration [25,26]. However, to date, no studies have examined the concurrent timing of multiple target durations as a function of pre-training lesions to the dorsal hippocampus (DH) or ventral hippocampus (VH).…”

Section: Introductionmentioning

confidence: 99%

Comparison of interval timing behaviour in mice following dorsal or ventral hippocampal lesions with mice having δ -opioid receptor gene deletion

Yin

Meck

2014

Phil. Trans. R. Soc. B

Self Cite

View full text Add to dashboard Cite

Mice with cytotoxic lesions of the dorsal hippocampus (DH) underestimated 15 s and 45 s target durations in a bi-peak procedure as evidenced by proportional leftward shifts of the peak functions that emerged during training as a result of decreases in both ‘start’ and ‘stop’ times. In contrast, mice with lesions of the ventral hippocampus (VH) displayed rightward shifts that were immediately present and were largely limited to increases in the ‘stop’ time for the 45 s target duration. Moreover, the effects of the DH lesions were congruent with the scalar property of interval timing in that the 15 s and 45 s functions superimposed when plotted on a relative timescale, whereas the effects of the VH lesions violated the scalar property. Mice with DH lesions also showed enhanced reversal learning in comparison to control and VH lesioned mice. These results are compared with the timing distortions observed in mice lacking δ -opioid receptors (Oprd1 −/− ) which were similar to mice with DH lesions. Taken together, these results suggest a balance between hippocampal–striatal interactions for interval timing and demonstrate possible functional dissociations along the septotemporal axis of the hippocampus in terms of motivation, timed response thresholds and encoding in temporal memory.

show abstract

Section: A "Gearing" Model For the Information Engine ?mentioning

confidence: 99%

“…Some recent works have attempted to integrate the striatum with hippocampus (Yin and Troger, 2011). CML would predict some type of signal decoupling for action selection which allows the cortex to select which striatal loop option to pick and also some coherence for action selection mechanism to couple with the proposed hippocampal gearing is a predicted possibility based on recent findings (Yin and Troger, 2011). In general the primary principle is we propose that the gearing operates when we find oscillation decoupling, and the mechanism for this decoupling is a dynamically stepped increase in oscillation rate, with higher rates eventually leading to loss of coherent synchronization (table 1).…”

Section: A "Gearing" Model For the Information Engine ?mentioning

confidence: 99%

Causal Mathematical Logic as a guiding framework for the prediction of “Intelligence Signals” in brain simulations

Lanzalaco

Pissanetzky

2013

Journal of Artificial General Intelligence

View full text Add to dashboard Cite

A recent theory of physical information based on the fundamental principles of causality and thermodynamics has proposed that a large number of observable life and intelligence signals can be described in terms of the Causal Mathematical Logic (CML), which is proposed to encode the natural principles of intelligence across any physical domain and substrate. We attempt to expound the current definition of CML, the "Action functional" as a theory in terms of its ability to possess a superior explanatory power for the current neuroscientific data we use to measure the mammalian brains "intelligence" processes at its most general biophysical level. Brain simulation projects define their success partly in terms of the emergence of "non-explicitly programmed" complex biophysical signals such as self-oscillation and spreading cortical waves. Here we propose to extend the causal theory to predict and guide the understanding of these more complex emergent "intelligence Signals". To achieve this we review whether causal logic is consistent with, can explain and predict the function of complete perceptual processes associated with intelligence. Primarily those are defined as the range of Event Related Potentials (ERP) which include their primary subcomponents; Event Related Desynchronization (ERD) and Event Related Synchronization (ERS). This approach is aiming for a universal and predictive logic for neurosimulation and AGi. The result of this investigation has produced a general "Information Engine" model from translation of the ERD and ERS. The CML algorithm run in terms of action cost predicts ERP signal contents and is consistent with the fundamental laws of thermodynamics. A working substrate independent natural information logic would be a major asset. An information theory consistent with fundamental physics can be an AGi. It can also operate within genetic information space and provides a roadmap to understand the live biophysical operation of the phenotype.

show abstract

Exploring the 4th Dimension: Hippocampus, Time, and Memory Revisited

Cited by 50 publications

References 71 publications

Dedicated Clock/Timing-Circuit Theories of Time Perception and Timed Performance

Dedicated Clock/Timing-Circuit Theories of Time Perception and Timed Performance

Comparison of interval timing behaviour in mice following dorsal or ventral hippocampal lesions with mice having δ -opioid receptor gene deletion

Causal Mathematical Logic as a guiding framework for the prediction of “Intelligence Signals” in brain simulations

Contact Info

Product

Resources

About