Soupie
Paranormal Adept
I have no idea what your position is.I want to make sure because you and Pharoah both seem to be confused about my position.
I find @Constance 's position to be incoherent. I've asked probing questions many times and have either gotten no answer or unsatisfactory answers.
@Pharoah 's approach is the most coherent to me, but I unfortunately do not see how his model addresses the HP, let alone answers it.
I've made my position pretty clear — that I feel the IP approach to consciousness is the most promising. For what it's worth, Chalmers confirms that the approach is at least coherent, if not a leading approach.
I understand that the three of you find the approach lacking. Ive attempted to identify why.
As noted, after I finish Pharoah's book, I will move on to neurophenomenology. However, from what I've read of it in the past, I feel the approach is more than compatible with IP.
www.neurophenomenology.com
An excerpt from "Mind and Life."
"This problem is known as the large-scale integration problem (Varela et al. 2001). According to dynamical neuroscience, the key variable for understanding large-scale integration is not so much the activity of the individual neural components, but rather the nature of the dynamic links among them. The neural counterparts of mental activity are thus investigated at the level of collective variables that describe emergent and changing patterns of large-scale integration. One recent approach to defining these collective variables is to measure transient patterns of synchronous oscillations between different populations of neurons (Engel, Fries, and Singer 2001; Varela et al. 2001). According to Varela (1995, 1999), these synchrony patterns define a temporal frame of momentary and transient neural integration that corresponds to the duration of the present moment of experience.
Varela presents the reasoning behind this view in the form of three connected, but logically independent, working hypotheses (1994, 1999, pp 274-277):
Hypothesis I: For every cognitive act. there is a singular, specific neural
assembly that underlies its emergence and operation.
According to this hypothesis, the emergence of any cognitive act requires the rapid coordination of many different capacities (attention, perception, memory, motivation, and so on) and the widely distributed neural systems subserving them. The neurophysiological substrate for this large-scale coordination is assumed to be a neural assembly, which can be defined as a distributed subset of neurons with strong reciprocal connections.
In the context of large-scale integration, a dynamic neural assembly engages vast and disparate regions of the brain. There are reciprocal connections within the same cortical area or between areas at the same level of the network; there are also reciprocal connections that link different levels in different brain regions. Because of these strong interconnections across widely distributed areas, a large-scale neural assembly can be activated or ignited from any of its smaller subsets,whether sensorimotor or internal. These assemblies have a transient, dynamic existence that spans the time required to accomplish an elementary cognitive act and for neural activity to propagate through the assembly.
Various empirical and theoretical considerations suggest that the time-scale of such neurocognitive activity—whether it be a perception/ action state (such as an eye or head movement), passing thought or memory, or emotional appraisal—is in the range of a fraction of a second, roughly 250-500 milliseconds or more (see Dennett and Kinsbourne 1992; Poppel 1988). Varela (1999) calls this scale of duration the “1 scale” of large-scale integration and he distinguishes it from the “1/10 scale” of elementary sensorimotor and neural events (10—l00 milliseconds), and the “I0 scale” of descriptive-narrative assessments involving memory. During successive time intervals at the 1/ 10 and 1 scale, there is competition between different neural assemblies: when a neural assembly is ignited from one or more of its smaller subsets, it either reaches coherence or is swamped by the competing activations of other overlapping assemblies. If the assembly holds together after its activation, then one can assume it has a transitory efficacy.”"
Hypothesis I: For every cognitive act. there is a singular, specific neural
assembly that underlies its emergence and operation.
According to this hypothesis, the emergence of any cognitive act requires the rapid coordination of many different capacities (attention, perception, memory, motivation, and so on) and the widely distributed neural systems subserving them. The neurophysiological substrate for this large-scale coordination is assumed to be a neural assembly, which can be defined as a distributed subset of neurons with strong reciprocal connections.
In the context of large-scale integration, a dynamic neural assembly engages vast and disparate regions of the brain. There are reciprocal connections within the same cortical area or between areas at the same level of the network; there are also reciprocal connections that link different levels in different brain regions. Because of these strong interconnections across widely distributed areas, a large-scale neural assembly can be activated or ignited from any of its smaller subsets,whether sensorimotor or internal. These assemblies have a transient, dynamic existence that spans the time required to accomplish an elementary cognitive act and for neural activity to propagate through the assembly.
Various empirical and theoretical considerations suggest that the time-scale of such neurocognitive activity—whether it be a perception/ action state (such as an eye or head movement), passing thought or memory, or emotional appraisal—is in the range of a fraction of a second, roughly 250-500 milliseconds or more (see Dennett and Kinsbourne 1992; Poppel 1988). Varela (1999) calls this scale of duration the “1 scale” of large-scale integration and he distinguishes it from the “1/10 scale” of elementary sensorimotor and neural events (10—l00 milliseconds), and the “I0 scale” of descriptive-narrative assessments involving memory. During successive time intervals at the 1/ 10 and 1 scale, there is competition between different neural assemblies: when a neural assembly is ignited from one or more of its smaller subsets, it either reaches coherence or is swamped by the competing activations of other overlapping assemblies. If the assembly holds together after its activation, then one can assume it has a transitory efficacy.”"