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TwistedCrank
climber
Released into general population, Idaho
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Jul 27, 2017 - 05:22am PT
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And now the science problem of how does the brain create experience?
By doing.
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WBraun
climber
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Jul 27, 2017 - 07:51am PT
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The brain can NOT create anything. Only life itself can.
The brain is NOT the source of life itself, nor is the brain the living self either.
The living entity, the self, interacts with the gross elements of the body and brain, thru the subtle material element, the mind.
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healyje
Trad climber
Portland, Oregon
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Jul 27, 2017 - 09:08am PT
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Quack, quack, quack, quack...lord baby jeebus do you actually have anything new or substantive to say?!? Can you elaborate on anything you have said? The rat-tat-tat of your vedic one-liners is crushingly repetitive and numbly boring at this point.
Here's an idea: pick any of your last hundred posts in this thread and elaborate a paragraph on each of the three seven to ten word pronouncements in the post...
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WBraun
climber
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Jul 27, 2017 - 10:09am PT
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It started in 2013, with a family trip to Yosemite National Park...
Where he crashed his dji drone and gave the wreck to me.
I sold all those parts that were still working on eBay and bought my Fluke 289 with that money with some money even left over.
So screw you stoopid corn slurp and your continual bullsh!t ......
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Bob D'A
Trad climber
Taos, NM
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Jul 27, 2017 - 10:16am PT
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"Quack, quack, quack, quack...lord baby jeebus do you actually have anything new or substantive to say?!? Can you elaborate on anything you have said? The rat-tat-tat of your vedic one-liners is crushingly repetitive and numbly boring at this point."
No he doesn't but he is sure is quick to demean or insult anyone who doesn't buy into his voodoo bullsh#t.
Yeah really solid MH2. LOL
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MH2
Boulder climber
Andy Cairns
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Jul 27, 2017 - 12:51pm PT
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Yeah really solid
If your only yardstick is postings to SuperTopo you are at a disadvantage.
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MikeL
Social climber
Southern Arizona
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Jul 27, 2017 - 02:50pm PT
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Ludwig Wittgenstein believed that philosophical problems needed to be addressed not so much with solutions as with therapies.
And James Hillman thought that psychiatry / psychology should be looked at as creative, artistic endeavors and studies.
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WBraun
climber
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Jul 27, 2017 - 05:45pm PT
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NASA the most advanced research center in the world for cutting edge technology has discovered that Sanskrit,
the world's oldest spiritual language is the only unambiguous spoken language on the planet.
Considering Sanskrit's status as a spiritual language, a further implication of this discovery is that the age old dichotomy between religion and science is an entirely unjustified one.
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Bob D'A
Trad climber
Taos, NM
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Jul 27, 2017 - 06:05pm PT
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Hoax Werner, just like most of the bullshit you spew out.
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High Fructose Corn Spirit
Gym climber
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Jul 27, 2017 - 07:13pm PT
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Dingus, I read the story at Wired this morning about Lily Robotics, its meteoric rise and crash n burn and thought it was interesting is all - how two guys, millenials, from Cal created that fantastic looking video above (it turns out using deceptive practices) and were then able to net tens of millions of dollars from potential customers and venture capitalists. I probably shouldn't have posted it to this thread, then again autonomous camera drones that sense and avoid (unlike remote controlled ones) relate to AI which relate to mind, eh? :)
Anyways, the above video is pretty cool (though for the most part aerial video is by rc drone not autonomous drone - big diff) and also I wanted to give some substantive content to my otherwise vacuous post, lol.
Once again I have no idea what WB is talking about in response to my Yosemite quote from Wired. His post makes Zero sense. I don't think he read the article, lol!!
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WBraun
climber
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Jul 28, 2017 - 02:10pm PT
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The fact that humans created Art, Science, Philosophy, civilization ....
No humans ever created any of that.
It was all already there in consciousness from the very beginning of time.
Just like being able to travel to other planets without mechanical means.
Everything is always there, one just needs to purify their consciousness beyond the material plane to understand/realization.
But gross materialist modern scientists consciousness is cemented in the material elements only sinking into the quicksand of their own doing ....
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Ed Hartouni
Trad climber
Livermore, CA
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Jul 28, 2017 - 08:44pm PT
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Neuron
Volume 94, Issue 5, Pages 933-1040 (7 June 2017)
Space-Time Dynamics of Membrane Currents Evolve to Shape Excitation, Spiking, and Inhibition in the Cortex at Small and Large Scales
Abstract
In the cerebral cortex, membrane currents, i.e., action potentials and other membrane currents, express many forms of space-time dynamics. In the spontaneous asynchronous irregular state, their space-time dynamics are local non-propagating fluctuations and sparse spiking appearing at unpredictable positions. After transition to active spiking states, larger structured zones with active spiking neurons appear, propagating through the cortical network, driving it into various forms of widespread excitation, and engaging the network from microscopic scales to whole cortical areas. At each engaged cortical site, the amount of excitation in the network, after a delay, becomes matched by an equal amount of space-time fine-tuned inhibition that might be instrumental in driving the dynamics toward perception and action.
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Inference in the Brain: Statistics Flowing in Redundant Population Codes
Abstract
Discretization in neural circuits occurs on many levels, from the generation of action potentials and dendritic integration, to neuropeptide signaling and processing of signals from multiple neurons, to behavioral decisions. It is clear that discretization, when implemented properly, can convey many benefits. However, the optimal solutions depend on both the level of noise and how it impacts a particular computation. This Perspective discusses how current physiological data could potentially be integrated into one theoretical framework based on maximizing information. Key experiments for testing that framework are discussed.
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Hierarchy of Information Processing in the Brain: A Novel ‘Intrinsic Ignition’ Framework
Abstract
A general theory of brain function has to be able to explain local and non-local network computations over space and time. We propose a new framework to capture the key principles of how local activity influences global computation, i.e., describing the propagation of information and thus the broadness of communication driven by local activity. More specifically, we consider the diversity in space (nodes or brain regions) over time using the concept of intrinsic ignition, which are naturally occurring intrinsic perturbations reflecting the capability of a given brain area to propagate neuronal activity to other regions in a given brain state. Characterizing the profile of intrinsic ignition for a given brain state provides insight into the precise nature of hierarchical information processing. Combining this data-driven method with a causal whole-brain computational model can provide novel insights into the imbalance of brain states found in neuropsychiatric disorders.
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The Brain as an Efficient and Robust Adaptive Learner
Abstract
Understanding how the brain learns to compute functions reliably, efficiently, and robustly with noisy spiking activity is a fundamental challenge in neuroscience. Most sensory and motor tasks can be described as dynamical systems and could presumably be learned by adjusting connection weights in a recurrent biological neural network. However, this is greatly complicated by the credit assignment problem for learning in recurrent networks, e.g., the contribution of each connection to the global output error cannot be determined based only on locally accessible quantities to the synapse. Combining tools from adaptive control theory and efficient coding theories, we propose that neural circuits can indeed learn complex dynamic tasks with local synaptic plasticity rules as long as they associate two experimentally established neural mechanisms. First, they should receive top-down feedbacks driving both their activity and their synaptic plasticity. Second, inhibitory interneurons should maintain a tight balance between excitation and inhibition in the circuit. The resulting networks could learn arbitrary dynamical systems and produce irregular spike trains as variable as those observed experimentally. Yet, this variability in single neurons may hide an extremely efficient and robust computation at the population level.
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Neural Manifolds for the Control of Movement
Abstract
The analysis of neural dynamics in several brain cortices has consistently uncovered low-dimensional manifolds that capture a significant fraction of neural variability. These neural manifolds are spanned by specific patterns of correlated neural activity, the “neural modes.” We discuss a model for neural control of movement in which the time-dependent activation of these neural modes is the generator of motor behavior. This manifold-based view of motor cortex may lead to a better understanding of how the brain controls movement.
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The Body Model Theory of Somatosensory Cortex
Abstract
I outline a microcircuit theory of somatosensory cortex as a body model serving both for body representation and “body simulation.” A modular model of innervated and non-innervated body parts resides in somatosensory cortical layer 4. This body model is continuously updated and compares to an avatar (an animatable puppet) rather than a mere sensory map. Superficial layers provide context and store sensory memories, whereas layer 5 provides motor output and stores motor memories. I predict that layer-6-to-layer-4 inputs initiate body simulations allowing rehearsal and risk assessment of difficult actions, such as jumps.
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Shaping the Default Activity Pattern of the Cortical Network
Abstract
Slow oscillations have been suggested as the default emergent activity of the cortical network. This is a low complexity state that integrates neuronal, synaptic, and connectivity properties of the cortex. Shaped by variations of physiological parameters, slow oscillations provide information about the underlying healthy or pathological network. We review how this default activity is shaped, how it acts as a powerful attractor, and how getting out of it is necessary for the brain to recover the levels of complexity associated with conscious states. We propose that slow oscillations provide a robust unifying paradigm for the study of cortical function.
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Enhanced Responsiveness and Low-Level Awareness in Stochastic Network States
Abstract
Desynchronized brain states are known to be associated with arousal and increased awareness, but the exact mechanisms are unknown. Here, we show that neuronal networks displaying asynchronous irregular (AI) activity can implement a low-level form of awareness, due to their specific responsiveness properties. We emphasize the importance of the conductance state and stochasticity to explain these properties. We suggest that the purpose of cortical structures is to generate AI states with optimal responsiveness, to be globally aware of external stimuli.
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Symmetry Breaking in Space-Time Hierarchies Shapes Brain Dynamics and Behavior
Abstract
In order to maintain brain function, neural activity needs to be tightly coordinated within the brain network. How this coordination is achieved and related to behavior is largely unknown. It has been previously argued that the study of the link between brain and behavior is impossible without a guiding vision. Here we propose behavioral-level concepts and mechanisms embodied as structured flows on manifold (SFM) that provide a formal description of behavior as a low-dimensional process emerging from a network’s dynamics dependent on the symmetry and invariance properties of the network connectivity. Specifically, we demonstrate that the symmetry breaking of network connectivity constitutes a timescale hierarchy resulting in the emergence of an attractive functional subspace. We show that behavior emerges when appropriate conditions imposed upon the couplings are satisfied, justifying the conductance-based nature of synaptic couplings. Our concepts propose design principles for networks predicting how behavior and task rules are represented in real neural circuits and open new avenues for the analyses of neural data.
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Memory Retrieval from First Principles
Abstract
The dilemma that neurotheorists face is that (1) detailed biophysical models that can be constrained by direct measurements, while being of great importance, offer no immediate insights into cognitive processes in the brain, and (2) high-level abstract cognitive models, on the other hand, while relevant for understanding behavior, are largely detached from neuronal processes and typically have many free, experimentally unconstrained parameters that have to be tuned to a particular data set and, hence, cannot be readily generalized to other experimental paradigms. In this contribution, we propose a set of “first principles” for neurally inspired cognitive modeling of memory retrieval that has no biologically unconstrained parameters and can be analyzed mathematically both at neuronal and cognitive levels. We apply this framework to the classical cognitive paradigm of free recall. We show that the resulting model accounts well for puzzling behavioral data on human participants and makes predictions that could potentially be tested with neurophysiological recording techniques.
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From Brain–Environment Connections to Temporal Dynamics and Social Interaction: Principles of Human Brain Function
Abstract
Experimental data about brain function accumulate faster than does our understanding of how the brain works. To tackle some general principles at the grain level of behavior, I start from the omnipresent brain-environment connection that forces regularities of the physical world to shape the brain. Based on top-down processing, added by sparse sensory information, people are able to form individual “caricature worlds,” which are similar enough to be shared among other people and which allow quick and purposeful reactions to abrupt changes. Temporal dynamics and social interaction in natural environments serve as further essential organizing principles of human brain function.
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MH2
Boulder climber
Andy Cairns
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Jul 29, 2017 - 07:34am PT
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Nice.
Lots of research activity, both on basic questions about how the brain does what it does, and on new possibilities for designing gadgets that can do some of the same jobs.
Wheat needs to be separated from chaff, by tossing ideas and results to the winds of peer-group criticism.
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jgill
Boulder climber
The high prairie of southern Colorado
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Jul 29, 2017 - 11:14am PT
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Lots of results for analytic philosophers to chew on. Too complicated for the metaphysical philosophers to handle.
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Dingus McGee
Social climber
Where Safety trumps Leaving No Trace
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Jul 30, 2017 - 04:02am PT
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Oh Largo??
Using your engineering skills tell us how close we are to getting the AC battery perfected?
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SuperTopo on the Web
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Let us know!