On Craniology

1871 ◽  
Vol 17 (79) ◽  
pp. 371-378
Author(s):  
J. W. Eastwood
Keyword(s):  
Human Mind ◽  
Future Period ◽  
Mental Functions ◽  
Philosophical System ◽  
Mental Powers ◽  
Comprehensive Classification ◽  
The Brain

There are two classes of men who occupy themselves in observations on mental functions, frequently working widely apart from each other. These are, the metaphysicians, who investigate the phenomena of mind apart from anatomical or physiological facts, and the physiologists, who keep as exclusively to their own labours. Neither of these classes of men have as yet formed any philosophical system of the mental powers, and other functions of the brain; and it may be safely asserted that it is only by a combination of metaphysics and physiology that we can advance any considerable steps in our knowledge. The philosophical Reid, whose greatest disciple was Sir William Hamilton, stated many years ago, in his “Essays on the Powers of the Human Mind,” that they are “so many, so various, and so connected and complicated in most of their operations, that there never has been any division of them proposed which is not liable to considerable objections.” All the classifications made by metaphysicians differ materially from each other, and what was true in Reid's time is true now. We have a different race of metaphysicians from those who flourished years ago, different from Reid, Dugald Stewart, and Brown, but as yet we seem no nearer than we were to a systematic and comprehensive classification of mental faculties, or more properly, of the functions of the brain. I would not say that no progress has been made, for a vast mass of facts has been accumulated, and careful observations have been made, which will be available at some future period for a scientific and philosophical classification.

Human Evolution

2020 ◽  
pp. 1-31
Keyword(s):  
Human Evolution ◽  
Structural Features ◽  
Human Mind ◽  
The Body ◽  
Controversial Issues ◽  
Complex Systems Theory ◽  
Current State ◽  
The Brain ◽  
Intelligent Activity

The main events and circumstances of human evolution are considered: classification of hominids, first descriptions, localization, chronology; artifacts characterizing their material and cultural activities; modern reconstruction of lifestyle and resettlement; and modern theories explaining the structural features of hominids and the processes of their occurrence. The manifestations of intelligent activity are discussed, in particular, their dependence from the structure of the body, the size, and complexity of the brain, for which comparisons with various animals are made. Particular attention is paid to unresolved or controversial issues. This material is necessary to assess the possibilities of the self-organization of complex systems theory (second chapter): if it adequately models the characteristics of a human's origin, then it can be used to understand the evolution of human mind and in the subsequent period, up to the current state.

scholarly journals An improved framework for brain tumor analysis using MRI based on YOLOv2 and convolutional neural network

2021 ◽  
Author(s):  
Muhammad Irfan Sharif ◽  
Jian Ping Li ◽  
Javeria Amin ◽  
Abida Sharif
Keyword(s):  
Brain Tumor ◽  
Tumor Detection ◽  
Entropy Method ◽  
Feature Extraction And Selection ◽  
Tumor Region ◽  
Selection For ◽  
Magnetic Resonance Imaging Mri ◽  
The Brain ◽  
Complicated Task

AbstractBrain tumor is a group of anomalous cells. The brain is enclosed in a more rigid skull. The abnormal cell grows and initiates a tumor. Detection of tumor is a complicated task due to irregular tumor shape. The proposed technique contains four phases, which are lesion enhancement, feature extraction and selection for classification, localization, and segmentation. The magnetic resonance imaging (MRI) images are noisy due to certain factors, such as image acquisition, and fluctuation in magnetic field coil. Therefore, a homomorphic wavelet filer is used for noise reduction. Later, extracted features from inceptionv3 pre-trained model and informative features are selected using a non-dominated sorted genetic algorithm (NSGA). The optimized features are forwarded for classification after which tumor slices are passed to YOLOv2-inceptionv3 model designed for the localization of tumor region such that features are extracted from depth-concatenation (mixed-4) layer of inceptionv3 model and supplied to YOLOv2. The localized images are passed toMcCulloch'sKapur entropy method to segment actual tumor region. Finally, the proposed technique is validated on three benchmark databases BRATS 2018, BRATS 2019, and BRATS 2020 for tumor detection. The proposed method achieved greater than 0.90 prediction scores in localization, segmentation and classification of brain lesions. Moreover, classification and segmentation outcomes are superior as compared to existing methods.

scholarly journals fNIRS Signal Classification Based on Deep Learning in Rock-Paper-Scissors Imagery Task

2021 ◽  
Vol 11 (11) ◽  
pp. 4922
Author(s):  
Tengfei Ma ◽  
Wentian Chen ◽  
Xin Li ◽  
Yuting Xia ◽  
Xinhua Zhu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Total Duration ◽  
Signal Classification ◽  
Imagery Task ◽  
Neural Activities ◽  
Computer Interfaces ◽  
Acquisition Device ◽  
The Time Domain ◽  
The Brain

To explore whether the brain contains pattern differences in the rock–paper–scissors (RPS) imagery task, this paper attempts to classify this task using fNIRS and deep learning. In this study, we designed an RPS task with a total duration of 25 min and 40 s, and recruited 22 volunteers for the experiment. We used the fNIRS acquisition device (FOIRE-3000) to record the cerebral neural activities of these participants in the RPS task. The time series classification (TSC) algorithm was introduced into the time-domain fNIRS signal classification. Experiments show that CNN-based TSC methods can achieve 97% accuracy in RPS classification. CNN-based TSC method is suitable for the classification of fNIRS signals in RPS motor imagery tasks, and may find new application directions for the development of brain–computer interfaces (BCI).

scholarly journals UV Spectral Classification of B Stars

1985 ◽  
Vol 111 ◽  
pp. 411-413
Author(s):  
Janet Rountree ◽  
George Sonneborn ◽  
Robert J. Panek
Keyword(s):  
Classification System ◽  
Classification Criteria ◽  
High Dispersion ◽  
Spectral Classification ◽  
Early Type ◽  
B Stars ◽  
Dimensional Classification ◽  
Early Type Stars ◽  
Comprehensive Classification

Previous studies of ultraviolet spectral classification have been insufficient to establish a comprehensive classification system for ultraviolet spectra of early-type stars because of inadequate spectral resolution. We have initiated a new study of ultraviolet spectral classification of B stars using high-dispersion IUE archival data. High-dispersion SWP spectra of MK standards and other B stars are retrieved from the IUE archives and numerically degraded to a uniform resolution of 0.25 or 0.50 Å. The spectra (in the form of plots or photowrites) are then visually examined with the aim of setting up a two-dimensional classification matrix. We follow the method used to create the MK classification system for visual spectra. The purpose of this work is to examine the applicability of the MK system (and in particular, the set of standard stars) in the ultraviolet, and to establish classification criteria in this spectral region.

Classification of EEG Mental Patterns by Using Two Scalp Electrodes and Mahalanobis Distance-Based Classifiers

2002 ◽  
Vol 41 (04) ◽  
pp. 337-341 ◽  
Author(s):  
F. Cincotti ◽  
D. Mattia ◽  
C. Babiloni ◽  
F. Carducci ◽  
L. Bianchi ◽  
...  
Keyword(s):  
Mahalanobis Distance ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Correct Classification ◽  
Interface Area ◽  
System A ◽  
The Brain ◽  
Full Covariance Matrix ◽  
Recording Electrodes

Summary Objectives: In this paper, we explored the use of quadratic classifiers based on Mahalanobis distance to detect mental EEG patterns from a reduced set of scalp recording electrodes. Methods: Electrodes are placed in scalp centro-parietal zones (C3, P3, C4 and P4 positions of the international 10-20 system). A Mahalanobis distance classifier based on the use of full covariance matrix was used. Results: The quadratic classifier was able to detect EEG activity related to imagination of movement with an affordable accuracy (97% correct classification, on average) by using only C3 and C4 electrodes. Conclusions: Such a result is interesting for the use of Mahalanobis-based classifiers in the brain computer interface area.

scholarly journals Application of MRI for the Diagnosis of Neoplasms

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Ewa Bejer-Oleńska ◽  
Michael Thoene ◽  
Andrzej Włodarczyk ◽  
Joanna Wojtkiewicz
Keyword(s):  
Benign Neoplasms ◽  
Young Males ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Mri Scans ◽  
International Statistical Classification ◽  
The Central Nervous System ◽  
Spss Software ◽  
The Brain

Aim. The aim of the study was to determine the most commonly diagnosed neoplasms in the MRI scanned patient population and indicate correlations based on the descriptive variables. Methods. The SPSS software was used to determine the incidence of neoplasms within the specific diagnoses based on the descriptive variables of the studied population. Over a five year period, 791 patients and 839 MRI scans were identified in neoplasm category (C00-D48 according to the International Statistical Classification of Diseases and Related Health Problems ICD-10). Results. More women (56%) than men (44%) represented C00-D48. Three categories of neoplasms were recorded. Furthermore, benign neoplasms were the most numerous, diagnosed mainly in patients in the fifth decade of life, and included benign neoplasms of the brain and other parts of the central nervous system. Conclusions. Males ≤ 30 years of age with neoplasms had three times higher MRI scans rate than females of the same age group; even though females had much higher scans rate in every other category. The young males are more often selected for these scans if a neoplasm is suspected. Finally, the number of MRI-diagnosed neoplasms showed a linear annual increase.

Coding of Temporally Varying Signals in Networks of Spiking Neurons with Global Delayed Feedback

2005 ◽  
Vol 17 (10) ◽  
pp. 2139-2175 ◽  
Author(s):  
Naoki Masuda ◽  
Brent Doiron ◽  
André Longtin ◽  
Kazuyuki Aihara
Keyword(s):  
Information Processing ◽  
Stimulus Frequency ◽  
Spiking Neurons ◽  
Feedforward Networks ◽  
Dynamical Characteristics ◽  
Neural Activities ◽  
Inherent Frequency ◽  
Types Of Information ◽  
The Brain

Oscillatory and synchronized neural activities are commonly found in the brain, and evidence suggests that many of them are caused by global feedback. Their mechanisms and roles in information processing have been discussed often using purely feedforward networks or recurrent networks with constant inputs. On the other hand, real recurrent neural networks are abundant and continually receive information-rich inputs from the outside environment or other parts of the brain. We examine how feedforward networks of spiking neurons with delayed global feedback process information about temporally changing inputs. We show that the network behavior is more synchronous as well as more correlated with and phase-locked to the stimulus when the stimulus frequency is resonant with the inherent frequency of the neuron or that of the network oscillation generated by the feedback architecture. The two eigenmodes have distinct dynamical characteristics, which are supported by numerical simulations and by analytical arguments based on frequency response and bifurcation theory. This distinction is similar to the class I versus class II classification of single neurons according to the bifurcation from quiescence to periodic firing, and the two modes depend differently on system parameters. These two mechanisms may be associated with different types of information processing.

Clinical and neuroimaging features of chronic cerebral ischemia in polycythemia vera

2021 ◽  
pp. 58-62
Author(s):  
G. V. Zyrina ◽  
T. A. Slyusa
Keyword(s):  
Cerebral Ischemia ◽  
Polycythemia Vera ◽  
Mini Mental State Examination ◽  
Comparison Group ◽  
Cognitive Disorders ◽  
Chronic Cerebral Ischemia ◽  
State Examination ◽  
The Brain

The purpose of the study. To study clinical and neuroimaging features of chronic cerebral ischemia (CCI) in polycythemia vera (PV).Materials and methods. 66 patients with PV were examined – the main group (43 men, 23 women; mean age 62.0 ± 3.4 years), of which 64 (97.0%) patients were diagnosed with CCI. The comparison group consisted of 85 patients with CCI (34 men, 51 women; mean age 67.7 ± 4.6 years), who developed against the background of cerebral vascular atherosclerosis and arterial hypertension. To identify cognitive disorders, we used Mini Mental State Examination (MMSE). Insomnia was studied in accordance with the criteria of the International Classification of Sleep ICDS‑22005. The quality of sleep was determined using a questionnaire from the Federal Somnological Center. Neuroimaging (MRI of the brain) was performed on Siemens Symphony 1.5 T and GE Signa 1.5 T tomographs.Results. Subjective symptoms CCI are characterized by a greater representation of asthenic and insomniac disorders. Transient ischemic attacks in patients with PV are significantly more common than in the comparison group, their frequency depends on the duration of PV. The revealed changes in MRI of the brain in the majority of PV patients with CCI are characteristic of multiinfarction vascular encephalopathy; in the comparison group, changes that characteristic for subcortical arteriosclerotic encephalopathy were more often recorded.

Human Mind and Its Carriers: Is It Possible to Transform Ourselves into Robots?

2021 ◽  
pp. 105-117
Author(s):  
Vadim V. Vasilyev ◽  
Keyword(s):  
Personal Identity ◽  
Human Person ◽  
Human Mind ◽  
John Searle ◽  
David Chalmers ◽  
Main Emphasis ◽  
Theories Of Mind ◽  
Continuous Stream ◽  
Previous State ◽  
The Brain

In this paper I discuss some aspects of the problem of carriers of human mind and person. The main emphasis is placed on the origin of our idea of the identi­cal self in the stream of perceptions, the need for a physical carrier of our self and person, and on possibility of replacing the biological carriers of self and per­son with artificial analogues. I argue that the idea of identical self is constructed by reflection on memories, that its truth is guaranteed by continuous stream of perceptions kept in memories, and that the stream of perceptions presupposes the presence of a normally functioning brain, which can be considered as a car­rier of our mind and person. Therefore, personal identity turns out to be depen­dent on the identity of the brain in time. An attempt to copy the structures of mind and person onto other possible carriers can thus only lead to creation of duplicates of the original person, but not to the continuation of its existence on another carrier. I argue that the gradual replacement of their components with artificial analogues is a more promising way of transforming the biological carri­ers of human person. To access the possible consequences of such a replacement I analyze arguments of John Searle and David Chalmers, designed to show, re­spectively, the disappearance of consciousness and person with such a replace­ment and, on the contrary, their preservation in a previous state. I explain why Searle’s arguments are unconvincing, and demonstrate that Chalmers’ arguments are based on a hidden premise, the confirmation of which is possible in the con­text of dubious theories of mind-body identity, epiphenomenalism or panpsy­chism only. I conclude that in the current situation it is impossible to predict which consequences for our person would follow such a replacement.

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