Many current neurophysiological, psychophysical, and psychological approaches to vision rest on the idea that when we see, the brain produces an internal representation of the world. The activation of this internal representation is assumed to give rise to the experience of seeing. The problem with this kind of approach is that it leaves unexplained how the existence of such a detailed internal representation might produce visual consciousness. An alternative proposal is made here. We propose that seeing is a way of acting. It is a particular way of exploring the environment. Activity in internal representations does not generate the experience of seeing. The outside world serves as its own, external, representation. The experience of seeing occurs when the organism masters what we call the governing laws of sensorimotor contingency. The advantage of this approach is that it provides a natural and principled way of accounting for visual consciousness, and for the differences in the perceived quality of sensory experience in the different sensory modalities. Several lines of empirical evidence are brought forward in support of the theory, in particular: evidence from experiments in sensorimotor adaptation, visual \"filling in,\" visual stability despite eye movements, change blindness, sensory substitution, and color perception.

A sensorimotor account of vision and visual consciousness-Authors' Response-Acting out our sensory experience

Language, Thought, and Other Biological Categories

: This thesis applies neural network feature selection techniques to multivariate time series data to improve prediction of a target time series. Two approaches to feature selection are used. First, a subset enumeration method is used to determine which financial indicators are most useful for aiding in prediction of the S&P 500 futures daily price. The candidate indicators evaluated include RSI, Stochastics and several moving averages. Results indicate that the Stochastics and RSI indicators result in better prediction results than the moving averages. The second approach to feature selection is calculation of individual saliency metrics. A new decision boundary-based individual saliency metric, and a classifier independent saliency metric are developed and tested. Ruck's saliency metric, the decision boundary based saliency metric, and the classifier independent saliency metric are compared for a data set consisting of the RSI and Stochastics indicators as well as delayed closing price values. The decision based metric and the Ruck metric results are similar, but the classifier independent metric agrees with neither of the other metrics. The nine most salient features, determined by the decision boundary based metric, are used to train a neural network and the results are presented and compared to other published results. (AN)

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Nonlinear Time Series Analysis.

Richard Rorty's Philosophy and the Mirror of Nature brings to light the deep sense of crisis within the profession of academic philosophy which is similar to the paralyzing pluralism in contemporary theology and the inveterate indeterminacy of literary criticism. Richard Rorty's provocative and profound meditations impel philosophers to examine the problematic status of their discipline— only to discover that modern European philosophy has come to an end. Rorty strikes a deathblow to modern European philosophy by telling a story about the emergence, development and decline of its primary props: the correspondence theory of truth, the notion of privileged representations and the idea of a self-reflective transcendental subject. Rorty's fascinating tale—his-story —is regulated by three fundamental shifts which he delineates in detail and promotes in principle: the move toward anti-realism or conventionalism in ontology, the move toward the demythologizing of the Myth of the Given or anti-foundationalism in epistemology, and the move toward detranscendentalizing the subject or dismissing the mind as a sphere of inquiry. The chief importance of Rorty's book is that it brings together in an original and intelligible narrative the major insights of the patriarchs of postmodern American philosophy—W. V. Quine, Wilfred Sellars, and Nelson Goodman— and persuasively presents the radical consequences of their views for contemporary philosophy. Rorty credits Wittgenstein, Heidegger and Dewey for having "brought us into a period of 'revolutionary' philosophy" by undermining the prevailing Cartesian and Kantian paradigms and advancing new conceptions of philosophy. And these monumental figures surely inspire Rorty. Yet, Rorty's philosophical debts—the actual sources of his particular anti-Cartesian and antiKantian arguments—are Quine's holism, Sellars' anti-foundationalism, and Goodman's pluralism. In short, despite his adamant attack on analytical philosophy—the last stage of modern European philosophy—Rorty feels most comfortable with the analytical form of philosophical argumentation (shunned by Wittgenstein and Heidegger). From the disparate figures of Wittgenstein, Heidegger, and Dewey, Rorty gets a historicist directive: to eschew the quest for certainty and the search for foundations.

Philosophy and the Mirror of Nature

The parieto-frontal cortical circuit that is active during action observation is the circuit with mirror properties that has been most extensively studied. Yet, there remains controversy on its role in social cognition and its contribution to understanding the actions and intentions of other individuals. Recent studies in monkeys and humans have shed light on what the parieto-frontal cortical circuit encodes and its possible functional relevance for cognition. We conclude that, although there are several mechanisms through which one can understand the behaviour of other individuals, the parieto-frontal mechanism is the only one that allows an individual to understand the action of others 'from the inside' and gives the observer a first-person grasp of the motor goals and intentions of other individuals.

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The functional role of the parieto-frontal mirror circuit: interpretations and misinterpretations.

Crop yield has been greatly enhanced during the last century. However, most elite cultivars are adapted to temperate climates and are not well suited to more stressful conditions. In the context of climate change, stress resistance is a major concern. To overcome these difficulties, scientists may help breeders by providing genetic markers associated with stress resistance. However, multistress resistance cannot be obtained from the simple addition of single stress resistance traits. In the field, stresses are unpredictable and several may occur at once. Consequently, the use of single stress resistance traits is often inadequate. Although it has been historically linked with the heat stress response, the heat-shock protein (HSP)/chaperone network is a major component of multiple stress responses. Among the HSP/chaperone 'client proteins', many are primary metabolism enzymes and signal transduction components with essential roles for the proper functioning of a cell. HSPs/chaperones are controlled by the action of diverse heat-shock factors, which are recruited under stress conditions. In this review, we give an overview of the regulation of the HSP/chaperone network with a focus on Arabidopsis thaliana. We illustrate the role of HSPs/chaperones in regulating diverse signalling pathways and discuss several basic principles that should be considered for engineering multiple stress resistance in crops through the HSP/chaperone network.

https://onlinelibrary.wiley.com/doi/pdf/10.1111/pbi.12659

The heat‐shock protein/chaperone network and multiple stress resistance

https://jeannicod.ccsd.cnrs.fr/ijn_00000573/document

The motor theory of social cognition: a critique.

We consider the generic problem of performing sequential Bayesian inference in a state-space model with observation process y, state process x and fixed parameter theta. An idealized approach would be to apply the iterated batch importance sampling (IBIS) algorithm of Chopin (2002). This is a sequential Monte Carlo algorithm in the theta-dimension, that samples values of theta, reweights iteratively these values using the likelihood increments p(y_t|y_1:t-1, theta), and rejuvenates the theta-particles through a resampling step and a MCMC update step. In state-space models these likelihood increments are intractable in most cases, but they may be unbiasedly estimated by a particle filter in the x-dimension, for any fixed theta. This motivates the SMC^2 algorithm proposed in this article: a sequential Monte Carlo algorithm, defined in the theta-dimension, which propagates and resamples many particle filters in the x-dimension. The filters in the x-dimension are an example of the random weight particle filter as in Fearnhead et al. (2010). On the other hand, the particle Markov chain Monte Carlo (PMCMC) framework developed in Andrieu et al. (2010) allows us to design appropriate MCMC rejuvenation steps. Thus, the theta-particles target the correct posterior distribution at each iteration t, despite the intractability of the likelihood increments. We explore the applicability of our algorithm in both sequential and non-sequential applications and consider various degrees of freedom, as for example increasing dynamically the number of x-particles. We contrast our approach to various competing methods, both conceptually and empirically through a detailed simulation study, included here and in a supplement, and based on particularly challenging examples.

SMC^2: an efficient algorithm for sequential analysis of state-space models

https://hea-www.harvard.edu/AstroStat/Stat310_1112/op_20120410.pdf

Introduction: What is human visual cognition PART I: THE PURPOSES OF VISION: PERCEIVING, THINKING AND ACTING 1. The representational theory of the visual mind PART II: EMPIRICAL EVIDENCE FOR THE DUALITY OF VISUAL PROCESSING 2. Multiple pathways in the primate visual system 3. Dissociations of visual functions by brain lesions in human patients 4. The varieties of normal human visual processing PART III: PERCEIVING OBJECTS AND GRASPING THEM 5. Visual perception 6. Visuomotor representations PART IV: THE PERCEPTION OF ACTION 7. Seeing humans act Epilogue: The two visual systems revisited

Pierre Jacob

Papers

The heat‐shock protein/chaperone network and multiple stress resistance

The motor theory of social cognition: a critique.

SMC^2: an efficient algorithm for sequential analysis of state-space models

SMC^2: an efficient algorithm for sequential analysis of state-space models

Ways of Seeing: The Scope and Limits of Visual Cognition