Physiological modules for generating discrete and rhythmic movements: action identification by a dynamic recurrent neural network

In this study we employed a dynamic recurrent neural network (DRNN) in a novel fashion to reveal characteristics of control modules underlying the generation of muscle activations when drawing figures with the outstretched arm. We asked healthy human subjects to perform four different figure-eight movements in each of two workspaces (frontal plane and sagittal plane). We then trained a DRNN to predict the movement of the wrist from information in the EMG signals from seven different muscles. We trained different instances of the same network on a single movement direction, on all four movement directions in a single movement plane, or on all eight possible movement patterns and looked at the ability of the DRNN to generalize and predict movements for trials that were not included in the training set. Within a single movement plane, a DRNN trained on one movement direction was not able to predict movements of the hand for trials in the other three directions, but a DRNN trained simultaneously on all four movement directions could generalize across movement directions within the same plane. Similarly, the DRNN was able to reproduce the kinematics of the hand for both movement planes, but only if it was trained on examples performed in each one. As we will discuss, these results indicate that there are important dynamical constraints on the mapping of EMG to hand movement that depend on both the time sequence of the movement and on the anatomical constraints of the musculoskeletal system. In a second step, we injected EMG signals constructed from different synergies derived by the PCA in order to identify the mechanical significance of each of these components. From these results, one can surmise that discrete-rhythmic movements may be constructed from three different fundamental modules, one regulating the co-activation of all muscles over the time span of the movement and two others elliciting patterns of reciprocal activation operating in orthogonal directions.

Physiological modules for generating discrete and rhythmic movements: Component analysis of EMG signals

A central question in Neuroscience is that of how the nervous system generates the spatiotemporal commands needed to realize complex gestures, such as handwriting. A key postulate is that the central nervous system (CNS) builds up complex movements from a set of simpler motor primitives or control modules. In this study we examined the control modules underlying the generation of muscle activations when performing different types of movement: discrete, point-to-point movements in eight different directions and continuous figure-eight movements in both the normal, upright orientation and rotated 90 degrees. To test for the effects of biomechanical constraints, movements were performed in the frontal-parallel or sagittal planes, corresponding to two different nominal flexion/abduction postures of the shoulder. In all cases we measured limb kinematics and surface electromyographic activity (EMB) signals for seven different muscles acting around the shoulder. We first performed principal component analysis (PCA) of the EMG signals on a movement-by-movement basis. We found a surprisingly consistent pattern of muscle groupings across movement types and movement planes, although we could detect systematic differences between the PCs derived from movements performed in each sholder posture and between the principal components associated with the different orientations of the figure. Unexpectedly we found no systematic differences between the figute eights and the point-to-point movements. The first three principal components could be associated with a general co-contraction of all seven muscles plus two patterns of reciprocal activatoin. From these results, we surmise that both "discrete-rhythmic movements" such as the figure eight, and discrete point-to-point movement may be constructed from three different fundamental modules, one regulating the impedance of the limb over the time span of the movement and two others operating to generate movement, one aligned with the vertical and the other aligned with the horizontal.

La mujer y su comportamiento durante el período de independencia en México 1767-1824

486 p.

Bothrops aff. Leucurus (Wagler, 1824) populazio irlatar baten deskribapen morfologikoa: suge populazio irlatar baten morfologia

[EUS] Atrox konplexuko espezieen barruan, Bothrops leucurus (Wagler, 1824) Bahia estatuko oihan atlantikoko sugegorri espezie arruntena da. Polimorfikoa da eta ezaugarri geografikoekin, ontogenikoekin eta sexuarekin erlazionatutako kolore aldakortasuna aurkezten du. Jadanik hainbat ikerketa burutu dira kontinenteko populazioei buruz, baina, oraindik ez da lanik egin BTS badiako populazio uhartetarrekin. Lan honen xedea Bothrops aff. leucurus populazio uhartetarraren deskribapena burutzea izan da, orbanen ereduetan, folidosian eta gorputz tamainan oinarriturik. Lagin tamaina erlatiboki txikia izanik (n=20), Student t testeko emaitzak type II erroreen menpe daude eta kontinenteko eta uharteko populazioen arteko ezberdintasunak estatistikoki ikertu izan ez diren arren, gure datuak garrantzia dute. Izan ere, ikerketa sakonagoetan oinarri bezala erabili ahal izango dira. Biometriari dagokionez, gure populazio uhartetarrean batazbesteko MKL txikiagoa ikusi dugu eta balioen tarteak murritzagoak dira. Ez da sexuen arteko ezberdintasun esangarririk topatu gorputzeko neurrientzat. Folidosian (ezkata zenbateka) lortutako datuak, beste autoreek Bothrops leucurus-entzat deskribatutako parametroekin bat datozen arren, gure laginak ezkata tarte mugatuagoak ageri ditu. Orban ereduak ale guztietan behatu eta irudikatu ostean, oro har bi eredu ezberdindu eta deskribatzea posible izan da. Behatuak izan diren ezberdintasunak, uhartetako baliagai-hornidura mugatuen ondorio gisa uler daitezke, izan ere, halako baldintzetan ale txikiagoak positiboki hautatuak izango liratekeelako.