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GP CaKe: Effective brain connectivity with causal kernels [article]

Luca Ambrogioni, Max Hinne, Marcel van Gerven, Eric Maris
2017 arXiv   pre-print
We construct a novel class of causal covariance functions that enforce the desired properties of the causal kernels, an approach which we call GP CaKe.  ...  Here we propose to model this causal interaction using integro-differential equations and causal kernels that allow for a rich analysis of effective connectivity.  ...  We call this new effective connectivity method Gaussian process Causal Kernels (GP CaKe).  ... 
arXiv:1705.05603v1 fatcat:6k77dlbecfhghackq4uqe4ucru

Spectral discontinuity design: Interrupted time series with spectral mixture kernels

David Leeftink, Max Hinne
2020 Neural Information Processing Systems  
We show that our approach is able to detect the causal effect of interventions that alter the spectral features of these time series.  ...  , with the interpolation by a model trained on data up to the intervention.  ...  GP CaKe: Effec-tive brain connectivity with causal ker-nels.  ... 
dblp:conf/nips/LeeftinkH20 fatcat:mqfufajntbbwxg5l7kqjenjkpe

Epistemological Strata and the Rules of Right Reason

Robert Cummins, Pierre Poirier, Martin Roth
2004 Synthese  
As a result, we can expect there to be important epistemic differences between the way brains, individuals, and science work.  ...  Every connection in a net is involved in the production of outputs and new representations are added by adjusting the net's connections.  ...  A scientific theory is a matrix of synaptic connections!  ... 
doi:10.1023/b:synt.0000044992.91717.aa fatcat:bo2tncd7vjfspnbjfun44rabce

Phasic norepinephrine is a neural interrupt signal for unexpected events in rapidly unfolding sensory sequences – evidence from pupillometry [article]

Sijia Zhao, Maria Chait, Fred Dick, Peter Dayan, Shigeto Furukawa, Hsin-I Liao
2018 biorxiv/medrxiv   pre-print
A prominent theory (Dayan & Yu, 2006) proposes that the brain monitors for 'unexpected uncertainty' – events which deviate substantially from model predictions, indicating model failure.  ...  routinely reports the statistical structure of our surroundings, even when not behaviourally relevant, we used rapid tone-pip sequences that contained perceptually salient pattern-changes associated with  ...  This enables us to establish causal relationships between neural activity, brain connectivity, and behavior at the fundamental level of individual neurons and neural connections, Fig. (a) and (b).  ... 
doi:10.1101/466367 fatcat:a3bquw6n55amhodwmfoa2frboa

Cost-to-Go Function Approximation [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
It maintains a set, S , of most specific hypotheses that are consistent with the training data and a set, G, of most general hypotheses consistent with the training data.  ...  In the following, we will assume a two-class problem with a positive and a negative class. The COVERING algorithm starts with an empty theory.  ...  We will illustrate this concept with a simple example. One of the key difficulties in calculating a causal effect is unmeasured confounding, i.e., hidden common causes.  ... 
doi:10.1007/978-1-4899-7687-1_100093 fatcat:vse7ncdqs5atlosjhz7fhlj3im

New hypotheses for the health-protective mechanisms of whole-grain cereals: what is beyond fibre?

Anthony Fardet
2010 Nutrition research reviews  
Potential protective effects of bound phenolic acids within the colon, of the B-complex vitamins on the nervous system and mental health, of oligosaccharides as prebiotics, of compounds associated with  ...  response) and Mg (better glycaemic homeostasis through increased insulin secretion), together with the antioxidant and anti-carcinogenic properties of numerous bioactive compounds, especially those in  ...  processes with lactic acid and whole barley kernels (255) .  ... 
doi:10.1017/s0954422410000041 pmid:20565994 fatcat:x2ah2jvnkrfwpprb73cxb5pbqe

Deep Reinforcement Learning [article]

Yuxi Li
2018 arXiv   pre-print
We start with background of artificial intelligence, machine learning, deep learning, and reinforcement learning (RL), with resources.  ...  Finally we summarize briefly, discuss challenges and opportunities, and close with an epilogue.  ...  The authors present an implementation with centralized training for decentralized execution, as discussed below. The authors experiment with grid world coordination, a partially observable game,  ... 
arXiv:1810.06339v1 fatcat:kp7atz5pdbeqta352e6b3nmuhy

Penilaian Kualiti Laporan EIA Dalam Aspek Kajian Hakisan Tanah [article]

Abdul Mahmud
2020 Figshare  
brain lobes .  ...  A Latin square with n rows and n columns can be used to design an experiment with n x n tests, to assess the causality of n treatment factors.  ...  Contribution: This study is aimed to analyze the findings of the GPS readings with static displacement method.  ... 
doi:10.6084/m9.figshare.12095736 fatcat:fzsit3wyqjc3fni4no4zzopz5e

Transfer of Tool Affordance and Manipulation Cues with 3D Vision Data [article]

Paulo Abelha, Frank Guerin
2017 arXiv   pre-print
We compare our system with the closest one in the literature and show that we achieve significantly better results  ...  We present a system which takes as input a candidate tool's point cloud and weight, and outputs a score for how effective that tool is for a task, and how to use it.  ...  We use the well-known squared exponential kernel with Automatic Relevance Determination (ARD) to train for every task.  ... 
arXiv:1710.04970v1 fatcat:t6ytmgh5wzg75lnabepjm7uvze

Multiple instance learning: A survey of problem characteristics and applications

Marc-André Carbonneau, Veronika Cheplygina, Eric Granger, Ghyslain Gagnon
2018 Pattern Recognition  
With very low WRs, the few positive instances have a limited effect after the pooling process.  ...  Instance-level SVM-based methods like mi-SVM [6] can deal with disjoint regions of positive instances using a kernel.  ... 
doi:10.1016/j.patcog.2017.10.009 fatcat:5zqn7cyly5e4jnxeh4h57ipzta

Absolute risk of cardiovascular disease events, and blood pressure- and lipid-lowering therapy in Australia

Emily Banks, Simon R Crouch, Rosemary J Korda, Bill Stavreski, Karen Page, Katherine A Thurber, Robert Grenfell
2016 Medical Journal of Australia  
This includes $15.3m in laboratory tests plus $10.5m in GP consultation fees, representing a case load equivalent of 12 additional full-time GPs.  ...  Ischaemic stroke: Stroke caused by obstruction (as by a blood clot) of a blood vessel of the brain.  ... 
doi:10.5694/mja15.01004 pmid:27125809 fatcat:y7yn4oeq4jgt3j53opj3p6wxbu

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges [article]

Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi
2022 arXiv   pre-print
There is, however, a recent study [Frady et al., 2021] that established a promising connection between kernel methods [Scholkopf and Smola, 2002] and the fractional power encoding for representing  ...  This is also connected with image scale. Object can belong to very many hierarchies for scenes of varied nature.  ... 
arXiv:2112.15424v2 fatcat:uteoq33hgna2fhs2o46rkde2iq

Food and Nutrition [article]

P.K. Newby
2021 Zenodo  
Newer hypotheses regarding the role of nuts on cognition and brain health, including synergistic effects with berries, are now being tested.  ...  There was insufficient evidence in connection with glaucoma and diabetic retinopathy.  ... 
doi:10.5281/zenodo.5607142 fatcat:kvwphcvtgngynkwfqusshm5upq

Computational Model of Human Memory

Susan Hempinstall, Université D'Ottawa / University Of Ottawa, Université D'Ottawa / University Of Ottawa
Theories of Extended Mind have evolved in waves to reach the present state of disagreement with regard to whether or not external artefacts become part of the mind when used for memory purposes.  ...  model of mind in the form of a kernel architecture based information processing system.  ...  Otto's notebook is an element in his cognitive processing since the notebook is causally linked with him and his brain, the notebook satisfies the Past Endorsement Criteria, and it aligns with the Parity  ... 
doi:10.20381/ruor-5367 fatcat:rryjvr4eand5xhxp5fxnfqncce

A Machine Learning Classification Framework for Early Prediction of Alzheimer's Disease

M Mahyoub
There are around 47 million people affected by dementia worldwide and the cost associated with providing them health and social care support is estimated to reach 2 trillion by 2030 which is almost equivalent  ...  The most common form of dementia with the highest costs in health and social care is Alzheimer's disease, which gradually kills neurons and causes patients to lose loving memories, the ability to recognise  ...  Finally, kernel support-vector-machines with different kernels that were trained by particle swarm optimization, were used to make an accurate prediction of AD subjects.  ... 
doi:10.24377/ljmu.t.00010791 fatcat:din7iywafjcnjncfx33dgoui2u
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