text stringlengths 96 34.8k | source stringclasses 12
values |
|---|---|
Please cite this article in press as: Halberstadt AL. Recent advances in the neuropsychopharmacology of serotonergic hallucinogens. Behav Brain Res (2014), http://dx. doi. org/10. 1016/j. bbr. 2014. 07. 016ARTICLE IN PRESSG Model BBR 9035 1-22 16 A. L. Halberstadt / Behavioural Brain Research xxx (2014) xxx-xxx [97] Sm... | Recent advances in the neuropsychopharmacology of -- Halberstadt Adam L_ -- Behavioural Brain Research 277 pages 99-120 2015 jan -- Elsevier -- 10_1016_j_bbr_2014_07_016 -- 95e2af2df9463e8c4ed63dee046 |
Please cite this article in press as: Halberstadt AL. Recent advances in the neuropsychopharmacology of serotonergic hallucinogens. Behav Brain Res (2014), http://dx. doi. org/10. 1016/j. bbr. 2014. 07. 016ARTICLE IN PRESSG Model BBR 9035 1-22 A. L. Halberstadt / Behavioural Brain Research xxx (2014) xxx-xxx 17 to top-... | Recent advances in the neuropsychopharmacology of -- Halberstadt Adam L_ -- Behavioural Brain Research 277 pages 99-120 2015 jan -- Elsevier -- 10_1016_j_bbr_2014_07_016 -- 95e2af2df9463e8c4ed63dee046 |
Please cite this article in press as: Halberstadt AL. Recent advances in the neuropsychopharmacology of serotonergic hallucinogens. Behav Brain Res (2014), http://dx. doi. org/10. 1016/j. bbr. 2014. 07. 016ARTICLE IN PRESSG Model BBR 9035 1-22 18 A. L. Halberstadt / Behavioural Brain Research xxx (2014) xxx-xxx [209] C... | Recent advances in the neuropsychopharmacology of -- Halberstadt Adam L_ -- Behavioural Brain Research 277 pages 99-120 2015 jan -- Elsevier -- 10_1016_j_bbr_2014_07_016 -- 95e2af2df9463e8c4ed63dee046 |
Please cite this article in press as: Halberstadt AL. Recent advances in the neuropsychopharmacology of serotonergic hallucinogens. Behav Brain Res (2014), http://dx. doi. org/10. 1016/j. bbr. 2014. 07. 016ARTICLE IN PRESSG Model BBR 9035 1-22 A. L. Halberstadt / Behavioural Brain Research xxx (2014) xxx-xxx 19 prefron... | Recent advances in the neuropsychopharmacology of -- Halberstadt Adam L_ -- Behavioural Brain Research 277 pages 99-120 2015 jan -- Elsevier -- 10_1016_j_bbr_2014_07_016 -- 95e2af2df9463e8c4ed63dee046 |
Please cite this article in press as: Halberstadt AL. Recent advances in the neuropsychopharmacology of serotonergic hallucinogens. Behav Brain Res (2014), http://dx. doi. org/10. 1016/j. bbr. 2014. 07. 016ARTICLE IN PRESSG Model BBR 9035 1-22 20 A. L. Halberstadt / Behavioural Brain Research xxx (2014) xxx-xxx [325] S... | Recent advances in the neuropsychopharmacology of -- Halberstadt Adam L_ -- Behavioural Brain Research 277 pages 99-120 2015 jan -- Elsevier -- 10_1016_j_bbr_2014_07_016 -- 95e2af2df9463e8c4ed63dee046 |
Please cite this article in press as: Halberstadt AL. Recent advances in the neuropsychopharmacology of serotonergic hallucinogens. Behav Brain Res (2014), http://dx. doi. org/10. 1016/j. bbr. 2014. 07. 016ARTICLE IN PRESSG Model BBR 9035 1-22 A. L. Halberstadt / Behavioural Brain Research xxx (2014) xxx-xxx 21 [383] D... | Recent advances in the neuropsychopharmacology of -- Halberstadt Adam L_ -- Behavioural Brain Research 277 pages 99-120 2015 jan -- Elsevier -- 10_1016_j_bbr_2014_07_016 -- 95e2af2df9463e8c4ed63dee046 |
Please cite this article in press as: Halberstadt AL. Recent advances in the neuropsychopharmacology of serotonergic hallucinogens. Behav Brain Res (2014), http://dx. doi. org/10. 1016/j. bbr. 2014. 07. 016ARTICLE IN PRESSG Model BBR 9035 1-22 22 A. L. Halberstadt / Behavioural Brain Research xxx (2014) xxx-xxx [448] K... | Recent advances in the neuropsychopharmacology of -- Halberstadt Adam L_ -- Behavioural Brain Research 277 pages 99-120 2015 jan -- Elsevier -- 10_1016_j_bbr_2014_07_016 -- 95e2af2df9463e8c4ed63dee046 |
Modelling perception as a hierarchical competition differentiates imagined, veridical, and hallucinated percepts Alexander A. Sulfaro1,†,*, Amanda K. Robinson1,2, Thomas A. Carlson1 1School of Psychology, Griffith Taylor Building, The University of Sydney, Camperdown, NSW 2006, Australia; 2Queensland Brain Institute, Q... | Modelling perception as a hierarchical competition0Adifferentiates imagined veridical and hallucinated0Apercepts.pdf |
2 Sulfaro et al. contrast to feedforward connections that stereotypically drive, rather than modulate, action potentials (Koenig-Robert and Pearson 2021 ). However, feedback to early visual regions can drive action potentials depending on local neurochemistry ( Aru et al. 2020 ). Furthermore, neither of these differenc... | Modelling perception as a hierarchical competition0Adifferentiates imagined veridical and hallucinated0Apercepts.pdf |
Modelling perception as a hierarchical competition 3 Figure 1. A hierarchical network modelling interference between externally and internally generated stimuli Note. (a) A hierarchical network model of visual perception. Layer size indicates the relative dimensionality of the encoded representation. Information is poo... | Modelling perception as a hierarchical competition0Adifferentiates imagined veridical and hallucinated0Apercepts.pdf |
4 Sulfaro et al. clamped to some predetermined set of input values. Drawing from modelling by Breedlove et al. (2020), the highest layer in the network was also clamped to a fixed set of input values to simulate an internally generated stimulus (i. e. a thought) during mental imagery. To simulate feedforward informatio... | Modelling perception as a hierarchical competition0Adifferentiates imagined veridical and hallucinated0Apercepts.pdf |
Modelling perception as a hierarchical competition 5 Figure 2. Veridical stimuli outcompete imagined stimuli at low-level sensory representations, but not high-level abstract representations Note. How simulated neural representations of an internally generated (imagined) hat and an externally generated (veridical) came... | Modelling perception as a hierarchical competition0Adifferentiates imagined veridical and hallucinated0Apercepts.pdf |
6 Sulfaro et al. Figure 3. Decreasing feedforward-to-feedback weighting ratio increases the sensory character of thoughts Note. Hierarchical competition between simulated neural representations of an internally generated (imagined) hat and an externally generated (veridical) camel modelled under different feedforward-t... | Modelling perception as a hierarchical competition0Adifferentiates imagined veridical and hallucinated0Apercepts.pdf |
Modelling perception as a hierarchical competition 7 Discussion Distinguishing imagined, veridical, and hallucinatory percepts In this study, we aimed to explain the apparent differences in vividness between veridical, imagined, and hallucinated percepts. We show that, for a hierarchical system with bidirectional infor... | Modelling perception as a hierarchical competition0Adifferentiates imagined veridical and hallucinated0Apercepts.pdf |
8 Sulfaro et al. subjective ratings of imagery 'vividness'. If so, this would justify why vividness ratings are generally only investigated concern-ing imagined, not veridical, experiences: veridical percepts are maximally sensory by default. Hallucinations Our model also delineates conditions for hallucinations. Visua... | Modelling perception as a hierarchical competition0Adifferentiates imagined veridical and hallucinated0Apercepts.pdf |
Modelling perception as a hierarchical competition 9 Serotonin and acetylcholine: neurologically plausible bottom-up and top-down weighting agents This model implies that neural agents exist which modulate the relative contribution of top-down and bottom-up processes. Given that this model predicts that weighting schem... | Modelling perception as a hierarchical competition0Adifferentiates imagined veridical and hallucinated0Apercepts.pdf |
10 Sulfaro et al. imagined in a given region of the visual field. In comparison, con-sider inner speech, a type of auditory imagery specifically related to the imagination of oral sound content like words. If audi-tory imagery can be expressed as inner speech, such as through converting imagined sounds to onomatopoeia,... | Modelling perception as a hierarchical competition0Adifferentiates imagined veridical and hallucinated0Apercepts.pdf |
Modelling perception as a hierarchical competition 11 require a detailed understanding of how neural representations of internally and externally generated perceptual content interact. Future studies may seek to explore the predicted impact of hierar-chical competition on neural activity using alternative models of fee... | Modelling perception as a hierarchical competition0Adifferentiates imagined veridical and hallucinated0Apercepts.pdf |
12 Sulfaro et al. Fisher CM. Visual hallucinations on eye closure associated with atropine toxicity. A neurological analysis and comparison with other visual hallucinations. Can J Neurolog Sci 1991;18:18-27. Fourtassi M, Rode G, Pisella L. Using eye movements to explore men-tal representations of space. Ann Phys Rehabi... | Modelling perception as a hierarchical competition0Adifferentiates imagined veridical and hallucinated0Apercepts.pdf |
Modelling perception as a hierarchical competition 13 Talamini F, Vigl J, Doerr E et al.. Auditory and visual men-tal imagery in musicians and non-musicians. Music Sci 2022;2:10298649211062724. Teunisse RJ, Zitman FG, Cruysberg JRM et al. Visual hallucinations in psychologically normal people: Charles Bonnet's syndrome... | Modelling perception as a hierarchical competition0Adifferentiates imagined veridical and hallucinated0Apercepts.pdf |
Biological Cybernetics (2021) 115:643-653 https://doi. org/10. 1007/s00422-021-00912-7 60TH ANNIVERSARY RETROSPECTIVE Evolution of the Wilson-Cowan equations Hugh R. Wilson1·Jack D. Cowan2 Published online: 19 November 2021 © The Author(s), under exclusive licence to Springer-Verlag Gmb H Germany, part of Springer Natu... | s00422-021-00912-7.pdf |
644 Biological Cybernetics (2021) 115:643-653 dynamics were manifest in his formulation, and this led him to an analytical travelling wave solution for neural activityof the form: F(x-vt)/equal1M 2 cosh2(k(x-vt))(1) where vis the velocity of the wave (to the right here) and Fis the proportion of neurones active during ... | s00422-021-00912-7.pdf |
Biological Cybernetics (2021) 115:643-653 645 The network inputs to each population are defined by spa-tial convolutions, denoted by ⊗in Eq. ( 2). In the original formulation the kernels were all functions of distance, and data available then suggested that they should be decaying exponentials of distance (Sholl 1956 ).... | s00422-021-00912-7.pdf |
646 Biological Cybernetics (2021) 115:643-653 Fig. 2 Dynamical response of the Wilson-Cowan equations to brief stimulation by sufficiently strong pulses at the pointsmarked by the vertical arrows. Due to recurrent excitation,network activity moves to twosaturated peaks of E populationactivity (red curves), but theseacti... | s00422-021-00912-7.pdf |
Biological Cybernetics (2021) 115:643-653 647 Fig. 3 Complex log retina to cortex mapping as defined by Eq. 5. The bounding blue contour represents the verticalmeridian, while the horizontalmeridian (0°) and the twodiagonals are as indicated. Axisunits are in mm along thecortical surface. A reflected maprepresents the ot... | s00422-021-00912-7.pdf |
648 Biological Cybernetics (2021) 115:643-653 Fig. 4 Example of a spatiotemporal illusion resulting from uniform field flicker. The plot shows one spatialdimension on the abscissa andtime increasing downward onthe ordinate. E neuron activitylevels are pseudocoloured asvery low (black), intermediate(shades of red), and hi... | s00422-021-00912-7.pdf |
Biological Cybernetics (2021) 115:643-653 649 in the squid giant axon, studies of mammalian neocortical neurons have shown that many additional ion currents arepresent. In particular, excitatory neocortical neurons self-adapt as the result of a, Ca ++mediated K+current that slowly hyperpolarizes the cell (Mc Cormick an... | s00422-021-00912-7.pdf |
650 Biological Cybernetics (2021) 115:643-653 0 2 4 6 8 10 12 14 16 18 20 Time (sec)00. 050. 10. 150. 20. 250. 30. 350. 40. 450. 5Response Fig. 5 Example of binocular rivalry generated by the Wilson-Cowan model with adaptation. Following a brief transient, a limit cycle resultswith left monocular activity (red) alterna... | s00422-021-00912-7.pdf |
Biological Cybernetics (2021) 115:643-653 651 Categories Fig. 6 Model for learning and recalling a series of simple patterns. Each pattern is represented by one active population from each Category (e. g. five grey circles). During Hebbian learning all connections among allfive units are symmetrically strengthened (only ... | s00422-021-00912-7.pdf |
652 Biological Cybernetics (2021) 115:643-653 but understandable nonlinearities. Four key ideas incorpo-rated in the original formulation epitomize this. First, the simplification to neural populations and firing rates as espoused by Beurle ( 1956 ) simplified the descrip-tion of neural networks relative to a detailed des... | s00422-021-00912-7.pdf |
Biological Cybernetics (2021) 115:643-653 653 Douglas RJ, Martin AC, Whitteridge D (1989) A canonical circuit for neocortex. Neural Comput 1:480-488 Douglas RJ, Martin KAC (1991) A functional microcircuit for cat visual cortex. J Physiol 440:735-769 Ermentrout GB, Cowan JD (1979) A mathematical theory of visual halluci... | s00422-021-00912-7.pdf |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.