The basic HTM theory describes region updates as synchronous, with the SDRs as a static presence during each cycle evaluation; updated whole throughout the region after each evaluation.
It is implied in all discussions for predictive dendrite segments (SDRs) that there is a “before” and “after” in regards to global states for the local region; the processing of the SDR neurons in a region could be considered as the evolution of the current region state to the next state as a coherent whole. I don’t see any room in the theory for asynchronous updates in the individual SDR elements.
I think that ordinary neuron cells left to their own devices are asynchronous creatures. If these cells are sensed as elements of an SDR I expect them to wink on and off like twinkle Christmas tree lights. This would be wholly unsuitable for forming an SDR. A bursting but otherwise unsynchronized cell is hardly better. If I understand HTM/SDR theory correctly it seems to assume that most of the cells with semantic meaning are present at the same time.
I have been trying to reconcile that concept with years of reading neuroscience theories trying to make sense of how nerves fire in various patterns like pulse trains. Christoph von der Malsburg had a batch of attempts to string these pulses together in things like synfIre chains to solve the binding problem. In particular, he was expecting to solve the “The Superposition Catastrophe” which I think is more elegantly explained by Hierarchical SDRs. (Thank you Jeff!)
As Christoph von der Malsburg postulated - some sort of synchronized oscillation must coordinate the activity of neural assemblies. There are so many to choose from. Possibly the most attractive candidate is the well-known brain mechanism “Recurrent Thalamocortical Resonance.” My suggestion is that this is the essential trigger for mesoscopic oscillatory activity.
Using thalamocortical resonance as the heartbeat of the HTM ties together the entire cortical region in synchronized waves of coordinated mesoscopic oscillatory activity. A brainwave. This addresses some classical questions in the binding problem.
Those working in teasing apart what various cortical layers do might want to look at this paper. What I have been reading in the HTM forum has been focused on the computation involved between various layers and processing different sensory streams. This paper suggests that layer IV is involved in a more mundane housekeeping function - triggering mesoscopic oscillatory activity.
A note in passing: My instinct is that these layer function theories should be expanded to encompass consolidation/transfer of Hippocampus memories in sleeping and dreaming.
I have been doing some reading to see what other people have discovered that may help me understand the implications of this combination of HTMs and thalamocortical resonance.
An earlier post by @BrainConstellation has a nice video showing some observations about the perception of time, in particular, the fusion of nearly simultaneous activities. It was noted that if the events happen within a certain window (about 100 ms) they are viewed as simultaneous. This makes sense if you think about the appearance of events within a cortical region happen within one (maybe two?) HTM processing cycle (a single cycle of thalamocortical resonance) they would all fall into the same quanta of perception.
Another thing that popped out from this video is that the perception of time seems to be variable. The presenter seems to say different parts of the brain can have different cycle rates (particularly episodic memory) but the areas that process hearing and visual perception seem to be fixed.
From what I have read and seen so far I have come to these conclusions:
I propose that a single thalamocortical resonance cycle in the cortex is the smallest quanta of human perception.
I propose that a single thalamocortical resonance cycle in the episodic portions of the cortex (those connected to the hippocampus) is the smallest quanta of human experience.
Another thought comes to me - it has been documented that trained yoga practitioners can enter altered states with different brain wave patterns. This fits in with what I have learned interfacing to camera chips. The chip has light-sensitive cells that collect photons with the number of photons being proportional to the brightness of the scene at that point in the image. If you are trying to sense a very low-light image you allow the image sensor a longer integration period to catch more photons before read-out. In meditation, the corresponding idea is that during altered states (lower frequency waves) SDRs with lower connection strength (weaker synaptic connections?) would have longer to integrate a pattern to recall a memory.
I welcome your comments.
Christoph von der Malsburg. Binding problem, neural basis of. In N. J. Smelser and Paul B. Baltes, editors, International Encyclopedia of the Social & Behavioral Sciences , pages 1178-1180. Pergamon, Oxford, 2001
The Correlation Theory of Brain Function; Christoph von der Malsburg
Link may be stale.
Content and Context in Temporal Thalamocortical Binding; R Llinas, U Rigary, M Joliot, and J. Wang
Thalamocortical Bursts Trigger Recurrent Activity in Neocortical Networks: Layer 4 as a Frequency-Dependent Gate, Michael Beierlein, Christopher P. Fall, John Rinzel, and Rafael Yuste
Dynamics of thalamo-cortical network oscillations and human perception; Urs RibaryDynamics of thalamo-cortical network oscillations and human perception; Urs Ribary
Ongoing Spontaneous Activity Controls Access to Consciousness: A Neuronal Model for Inattentional Blindness; Stanislas Dehaene1, Jean-Pierre Changeux
Distinct recurrent versus afferent dynamics in cortical visual processing; Kimberly Reinhold, Anthony D Lien & Massimo Scanziani
Time Perception and Distortion: The Neuroscience of Subjective Time
 Time Perception and Distortion: The Neuroscience of Subjective Time
Link to video: https://www.youtube.com/watch?v=HhDx3veMkFw
(Stale on linked Numenta page)
Meditation and the Brain
Cortical Travelling Waves: Mechanisms and Computational Principles; Terry Sejnowski, Salk Institute
Sleep part starts here: