Cognition and Consciousness

Experimental data  show that beyond  synapses the molecular structure distributed within neurons is directly involved in learning, computation  and storing memories http://neuroelectrodynamics.blogspot.com/p/spike-directivity.html (Aur et al.,2005; Aur and Jog,2006; Hameroff et al., 2002; Woolf et al., 2009). Understanding the puzzle of  mind and cognition in computational terms  has  to  reveal  at least three major aspects:
 (i) Where are our memories stored?
(ii) How are memories ‘read’ or ‘written’ ?
(iii) How  is information continuously integrated in the brain?

Where are our memories stored?

The semantic knowledge gradually accumulates from childhood to adulthood. Always personal experiences can add new semantic content which has to be systematically  kept in the brain. In addition to synapses the entire cell function is involved in storing memories.
(i)                 These fragments of information are stored inside neurons within macromolecular  structures in proteins (Hameroff et al., 2002; Woolf et al., 2009, see regions in cyan color)
(ii)                A continuous reorganization of internal  neuronal structure  occurs in time  
(iii)             Subtle changes in the structure of protein molecules can change how this information is distributed inside the cells or between different neurons



(iii)             
(iv)              Consequence: This phenomenon of continuous reorganization generates  experimental  issues since it may provide changes in electrophysiological recordings.

What does DNA stand for?

Therefore the internal structure inside the cell is not randomly built. Within their three-dimensional structures all molecular formations (proteins) embed specific spatial charge distributions.
(i)                 The selection of genes (Comoletti  et al., 2006) represents an  important factor in shaping structure-dependent charge density
(ii)               Refining the macromolecular structures (charge density) is a continuous process that leads to new protein synthesis regulated by gene expression
(iii)             This reorganization of information inside the neuron can be reshaped  by repetitive  strong interaction that occur  during spiking activity .  New information  electrically brought in continuously accumulates while ‘old’ already stored  information has to be restructured under the influence of biochemical and electrical factors

Example: With learning an increase of organization occurs inside specific cells ( e.g expert neurons - Aur and Jog, 2007, Aur and Jog, 2010; Aur, 2010).
 
Therefore, in order to accumulate new information the organization of macromolecular structure  within  cells increases from childhood to adulthood while the strength  of neural  activity diminishes toward adulthood. 
Example: Correlated with this phenomenon, the  maximum synaptic density (absolute number of synapses per neuron) is reached by age 1 year and  strongly decreases during the preschool years (Huttenlocher,  1984; Bastrikova et al., 2008)  
Therefore:
(i)                 Internal reorganization of information storage inside cells provides less redundant storage  of fragments of information distributed within various cells
(ii)               The entire process of synapse elimination  leads to a more efficient access to information stored in neurons
(iii)             Efficiency principle:  The same neurons can be involved in different cognitive processes, different fragments of information can be ‘read’ from molecular structure just by changing the spatial  propagation of APs  (see spike directivity) http://neuroelectrodynamics.blogspot.com/p/spike-directivity.html
(iv)              The reorganization of  information within  cells  significantly alters  neuronal response (temporal patterns)
(v)                These changes in neuronal molecular structure and synapses  generate  in time different    more efficient brain rhythms from childhood development to adulthood (e.g. temporal patterns).
(vi)              The structure of matter inside neurons and  its organization  is controlled by specific regulatory mechanisms required to preserve information and provide fast access
(vii)             The  entire process of reorganization  follows the efficiency principle (principle  of optimality, NED)
(viii)            An increased organization determines efficient responses (less spikes) and less  energy  required to complete  various tasks
(ix)               The generation of order in intracellular structure reflects the ‘memory storage’
(x)              Consequence:   The mind can be remodeled by reshaping the biological substrate within neurons

Therefore, the  entire architecture underlying memory formation is far more complex depends on  inherited traits and occurs all the way from protein expression to transcription of the DNA sequence of the gene. In addition to synaptic changes the genetic component is subtlety involved in building molecular blocks within neurons underlying distinct intracellular  signaling. 
Example: Significant differences between animal and human levels of cognition are genetically encoded in DNA segments  
 
How are memories  ‘read’ or ‘written’ ?

The neurons accumulate fragments of information within their molecular structure (proteins). This information is transferred to electrical flow in the brain during spiking activities (APs, synaptic activities) and  such processes allow a direct  retrieval of semantic information in the brain.
Therefore, electrical  propagation  within and between neurons is not a simple process of  conduction, it provides  access to information intracellularly  stored  in various spatial locations (dendrites, axonal terminals)

(i)                 The existent structural order in molecular formations within neurons represents the ‘memory’  that can be read during the transitory spiking periods.
(ii)                The process of interaction during spike propagation (APs, synaptic activity) is the moment when information stored within molecular structure is ‘read’ or ‘written’.
(iii)             Specific rhythms are required to read or write information. 
Example: The  phases of sleep  have an important role in generating critical electrical rhythms required to  provide a selection of genes involved in  new protein synthesis (Stickgold, 2007), a process of building memory by  ‘writing’ fragments of information within  new molecular structures.
(iV)                 In addition, severe  alterations of brain rhythms are associated to many neurological disorders and reflect abnormal changes in neuronal molecular structure which may indicate dysfunctions in the life cycle of proteins http://neuroelectrodynamics.blogspot.com/p/from-spike-timing-dogma-to.html(Aur, 2011)

How  is information integrated?
  
From childhood to adulthood the brain forms and maintains an internal model of the external world, the world is in your head (Lehar, 2002). The subjective image of the 'world' is structured in time within neurons by accumulating information.  

Example: The 'body image' is part of the subjective  'world' structured inside neurons (e.g Penfield's homunculus). Local electrical stimulation (electrical interaction) reveals the representation of body parts (Penfield and Boldrey, 1937). 

Fragments of semantic and non-semantic knowledge are assembled together during spike generation creating the whole from parts. Since  in the brain optimal computation  is semantically oriented,  meaning  can be directly obtained through interactions  within selected neurons that fire APs (Aur and Jog, 2007, Aur and Jog , 2010).
 The meaning of the whole created in the brain becomes a function of the meaning of the parts ‘read’ from many neurons (fragments of information) through electrical interactions  mediated by many other factors (e.g. neurotransmitters). The  electric flow of information provides the  ‘active memory’.

Direct consequences:
(i)                 Since  fragments of information are distributed in many neurons then several cells have to fire together  in order to integrate information and retrieve the semantic content
(ii)                Therefore, sustained interaction within neurons and between neurons is  required  to  generate active memory  (the working memory hypothesis)
(iii)              The incoming input (sensorial or not)  is transformed based on existent stored information since the subjective 'world' is already  in your head;
(iv)                During 'working memory activation' the entire process of interaction generates well known changes in  brain rhythms
(v)                 This process  explains the millisecond precision of firing  or the presence of synchronous activity during sustained attention or higher-order language skill

Within neurons the electrodynamics of AP propagation  yields  meaningful submillisecond spatial kinetics (Aur et al., 2005; Aur and Jog, 2007; Aur and Jog, 2010; Aur, 2010). Therefore, the  geometric interpretation towards understanding brain function (Linas, 2008) has to start with  a variable spatial  dynamics within neurons  on a submillisecond scale that directly provides the relationship from the molecular to the cognitive level. This ‘dynamic’ geometry reflects internal interactions critically important  to access fragments of information  stored  inside neurons. These interactions  have to  be extended  in large brain areas to  electrically  integrate information in a timely- spatially  organized manner to generate consciousness.


From matter to thought and back

Neuroscience and neural computation have perpetuated  the gimmick of spike timing and reductionist models that have lead nowhere in understanding the neural code or cognition (Aur and Jog, 2010, Aur, 2011;Poznanski, 2002).  The dynamic  reorganization of information stored  within molecular structures embed semantic  and non-semantic knowledge. These fragments of information  are  continuously inferred through interaction during spiking activities. The incoming input  is transformed based on existent stored information and the entire process relates the subject to outside world events.(see  computation by interaction http://neuroelectrodynamics.blogspot.com/p/computing-by-interaction.html) . 
 The interaction between the electric flow ( e.g. Na+, K+, Cl-, Ca2+) and structured, organized matter within neurons (Friesner, 2005) provides the transition   from structured matter to thought and generates a cohesive explanation regarding memory and  cognition. 


Importantly, in addition to genetic factors, the power of thoughts can influence brain rhythms and therefore subtlety,  slightly change in time  the structure  inside the cells. The entire process represents the hinted action of mind over matter.
 
References:

Bastrikova, N., Gardner, G.A., Reece, J.M., Jeromin, A., Dudek, S.M. 2008, Synapse elimination accompanies functional plasticity in hippocampal neurons , Proceedings of the National Academy of Sciences of the United States of America 105 (8), pp. 3123-3127
Steven M. Lehar, 2002, The World in Your Head: A Gestalt View of the Mechanism of Conscious Experience, Lawrence Erlbaum Associates
 Dorian  Aur, Christopher I. Connolly, and  Mandar S Jog, 2007, Computing spike directivity with tetrodes, Journal of Neuroscience Methods, Volume 149, Issue 1, 30, pp.  57-63; http://dx.doi.org./10.1016/j.jneumeth.2005.05.006
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